文档和演讲 API

API ID 14100

文档转Markdown(PDF 办公室 HTML) OCR 基于架构的JSON提取文档和图像 文本转语音(Kokoro 28种美国和英国英语语音)以及多语言嵌入(bge-m3)

API 文档

端点

请求
将PDF DOCX PPTX XLSX XLS和HTML转换为干净的Markdown(或结构化JSON),以便于LLM和RAG使用 表格保持为Markdown表格,扫描的PDF会自动进行OCR 上传文件作为“文件”表单字段(最大20 MB) Office/HTML文件大约需要0.4秒;PDF文件每页大约需要3.5秒 大文件返回job_id以进行轮询
Endpoint ID: 34829
POST https://zylalabs.com/api/14100/document+and+speech+api/34829/document+to+markdown+or+json+for+llms
输入参数

文档转为Markdown或JSON以供大型语言模型使用 — 端点功能

对象 描述
请求体 必需 文件二进制

剩余免费测试请求:3 / 3。


输入参数

API 示例响应
JSON
{
    "job_id": "4d60eeb7437b4799bf00aa33f7efff24",
    "status": "finished",
    "format": "html",
    "pages": null,
    "markdown": "[Home](/) | [About](/about)\n\n# Bluefield Logistics update 1\n\n## Compliance backup\n\nEmployee shipment safety estimate budget office network backup maintenance summary customer employee compliance schedule supplier. Network regional project margin supplier warehouse project safety vendor pipeline renewal policy audit policy renewal. Storage inspection vendor project estimate report vendor contract backup balance.\n\n* Pipeline balance contract warehouse project payment.\n* Vendor balance backup review payment audit.\n* Office safety inventory review regional quarterly.\n\n## Target regional\n\nServer supplier balance forecast invoice deployment budget shipment training office budget estimate training quarterly payment storage. Milestone schedule forecast project summary maintenance compliance audit schedule estimate warehouse summary inventory training inspection project training. Audit balance backup warehouse analysis target audit delivery margin shipment warehouse summary warehouse server office customer. Review estimate margin compliance backup schedule review growth forecast growth report budget. Storage target project office target deployment compliance project analysis report revenue maintenance regional analysis delivery policy summary account. Supplier vendor milestone server server summary analysis report deployment vendor regional training target regional audit payment.\n\n* Review report pipeline renewal shipment backup.\n* Inventory training renewal audit inspection invoice.\n* Growth renewal office summary safety revenue.\n\n## Policy renewal\n\nMilestone project schedule training milestone balance maintenance server customer server report balance. Maintenance inspection pipeline inventory review delivery milestone quarterly inventory backup inventory employee storage customer. Network safety margin margin shipment budget maintenance delivery margin milestone pipeline audit network inventory network review. Project inspection server target estimate contract quarterly target budget. Deployment audit training milestone budget forecast inventory office payment target safety forecast account server project compliance. Backup supplier margin customer analysis budget balance server employee target.\n\n* Warehouse compliance supplier shipment maintenance renewal.\n* Target balance office employee storage office.\n* Invoice supplier schedule compliance estimate quarterly.\n* Customer server network compliance revenue inventory.\n* Office warehouse budget milestone network quarterly.\n\n## Maintenance audit\n\nEmployee quarterly supplier estimate forecast project shipment pipeline shipment network inventory quarterly project budget review customer safety. Project schedule review schedule forecast inspection account compliance project forecast. Regional inspection network maintenance project forecast revenue payment. Inventory renewal schedule regional network review deployment margin inventory. Warehouse payment milestone account summary audit network summary growth payment training renewal schedule forecast employee estimate balance.\n\n* Policy summary policy balance deployment server.\n* Revenue delivery office storage forecast margin.\n\n## Quarterly audit\n\nSummary policy summary employee payment schedule contract budget inspection report invoice employee payment. Delivery deployment customer balance analysis forecast maintenance quarterly customer. Milestone milestone schedule regional schedule inspection quarterly summary. Balance analysis estimate growth inspection vendor inventory quarterly balance forecast review balance growth. Server balance milestone schedule revenue summary shipment revenue target report backup budget contract project. Contract policy schedule office shipment inventory contract vendor renewal customer forecast invoice training summary renewal.\n\n* Server training maintenance compliance storage budget.\n* Audit safety budget account balance target.\n* Payment review forecast customer balance revenue.\n\n| Item | Qty | Unit price | Total |\n| --- | --- | --- | --- |\n| Cable ties | 1 | $57.25 | $57.25 |\n| Copper wire | 32 | $4.50 | $144.00 |\n| Pallet wrap | 4 | $337.50 | $1,350.00 |\n| Label printer | 23 | $396.99 | $9,130.77 |\n| LED panels | 12 | $387.00 | $4,644.00 |\n| Pallet wrap | 34 | $95.25 | $3,238.50 |\n| Shelving unit | 11 | $283.99 | $3,123.89 |\n| Cable ties | 36 | $234.50 | $8,442.00 |\n\n(c) 2026",
    "seconds": 0.04
}
文档转为Markdown或JSON以供大型语言模型使用 — 代码片段

    curl --location 'https://zylalabs.com/api/14100/document+and+speech+api/34829/document+to+markdown+or+json+for+llms' \
    --header 'Content-Type: application/json' \ 
    --form 'image=@"FILE_PATH"'

请求
使用 Tesseract 5(英语)从图像和扫描的 PDF 中提取纯文本 将 PNG JPG TIFF BMP GIF WebP 或 PDF 文件上传至 20 MB 作为“文件”表单字段;返回完整文本及每一页的文本 通常每张图像约 0.5 秒
Endpoint ID: 34830
POST https://zylalabs.com/api/14100/document+and+speech+api/34830/ocr+for+images+and+scanned+pdfs
输入参数

图像和扫描PDF的OCR — 端点功能

对象 描述
请求体 必需 文件二进制

剩余免费测试请求:3 / 3。


输入参数

API 示例响应
JSON
{
    "job_id": "60c5551c8a804d099fab18d9e19078b6",
    "status": "finished",
    "pages": 1,
    "text": "HUBRIS HARDWARE STORE\nReceipt #10427 2026-10-06\n\nCable ties (100) $4.99\nLabel printer tape $12.50\n\nLED panel 30W $38.00\nSubtotal $55.49\nTax 8% $4.44\n\nTOTAL $59.93",
    "page_text": [
        "HUBRIS HARDWARE STORE\nReceipt #10427 2026-10-06\n\nCable ties (100) $4.99\nLabel printer tape $12.50\n\nLED panel 30W $38.00\nSubtotal $55.49\nTax 8% $4.44\n\nTOTAL $59.93"
    ],
    "seconds": 0.34
}
图像和扫描PDF的OCR — 代码片段

    curl --location 'https://zylalabs.com/api/14100/document+and+speech+api/34830/ocr+for+images+and+scanned+pdfs' \
    --header 'Content-Type: application/json' \ 
    --form 'image=@"FILE_PATH"'

请求
通过Kokoro-82M实现自然听感的文本转语音:28种美国和英国英语声音(获取声音端点以获取列表),速度范围0.5-2.0,输出格式为WAV、MP3或OGG。发送“response”:“json”以获取音频的base64编码和其持续时间。文本最多支持5000个字符
Endpoint ID: 34831
POST https://zylalabs.com/api/14100/document+and+speech+api/34831/text+to+speech+with+28+natural+english+voices
输入参数

带有28种自然英语声音的文本语音转换 — 端点功能

对象 描述
请求体 必需 Json

剩余免费测试请求:3 / 3。


输入参数

API 示例响应
JSON
{
    "job_id": "60661fac7e2040d097836d0e0156f799",
    "status": "finished",
    "content_type": "audio/mpeg",
    "duration": 2.7,
    "seconds": 1.52,
    "audio_base64": "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...",
    "_note": "Response truncated for documentation purposes"
}
带有28种自然英语声音的文本语音转换 — 代码片段

curl --location --request POST 'https://zylalabs.com/api/14100/document+and+speech+api/34831/text+to+speech+with+28+natural+english+voices' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{"text": "Hello", "voice": "af_heart", "format": "mp3", "response": "json"}'

    
请求
上传发票、收据、表单、简历或身份证(图像或最多 5 页的 PDF,最大 20 MB)作为“文件”字段,并在“schema”参数中传递您想要的字段作为 JSON Schema 一个视觉 LLM 读取文档并返回填充您模式的 JSON 在“data”字段中:不需要模板或训练,任何布局都可以。字段名称和描述指导提取,例如{"type":"object","properties":{"vendor":{"type":"string"},"date":{"type":"string","description":"YYYY-MM-DD"},"total":{"type":"number"}}} 可选的“instructions”添加提示,例如“金额不用货币符号” 每个文档通常约 4 秒
Endpoint ID: 34832
POST https://zylalabs.com/api/14100/document+and+speech+api/34832/extract+json+from+invoices+receipts+and+forms
输入参数

从发票 收据 和表格中提取 JSON — 端点功能

对象 描述
schema 必需 JSON Schema of the fields to extract (type object with properties)
instructions 可选 Optional extra hints for the extraction (max 2000 characters)
请求体 必需 文件二进制

剩余免费测试请求:3 / 3。


输入参数

schema
instructions
API 示例响应
JSON
{
    "job_id": "6d31305ea8374de694af9ecc6ac250a5",
    "status": "finished",
    "data": {
        "vendor": "BLUEFIELD LOGISTICS",
        "date": "null",
        "total": 285.94
    },
    "pages": 1,
    "model": "Qwen3.5-9B",
    "seconds": 2.02,
    "usage": {
        "completion_tokens": 27,
        "prompt_tokens": 1063,
        "total_tokens": 1090,
        "prompt_tokens_details": {
            "cached_tokens": 84
        }
    }
}
从发票 收据 和表格中提取 JSON — 代码片段

    curl --location 'https://zylalabs.com/api/14100/document+and+speech+api/34832/extract+json+from+invoices+receipts+and+forms?schema={"type":"object","properties":{"vendor":{"type":"string"},"date":{"type":"string","description":"YYYY-MM-DD"},"total":{"type":"number"}}}&instructions=Dates as YYYY-MM-DD' \
    --header 'Content-Type: application/json' \ 
    --form 'image=@"FILE_PATH"'

请求
搜索和RAG的文本嵌入(bge-m3,1024维,100多种语言)
Endpoint ID: 34833
POST https://zylalabs.com/api/14100/document+and+speech+api/34833/text+embeddings+bge-m3+for+search+and+rag
输入参数

文本嵌入bge-m3用于搜索和RAG — 端点功能

对象 描述
请求体 必需 Json

剩余免费测试请求:3 / 3。


输入参数

API 示例响应
JSON
{
    "job_id": "d275efda77d8467f99fc107cfe4f9530",
    "status": "finished",
    "model": "bge-m3",
    "dimensions": 1024,
    "embeddings": [
        [
            -0.026360729709267616,
            0.018764957785606384,
            -0.007465451490134001,
            0.024926811456680298,
            -0.011918624863028526,
            -0.022795354947447777,
            -0.029500657692551613,
            -0.05387190356850624,
            -0.005154398735612631,
            0.013199728913605213,
            -0.015859287232160568,
            0.007968025282025337,
            -0.01810515485703945,
            -0.0034902130719274282,
            0.04218396171927452,
            0.022848404943943024,
            -0.0027197510935366154,
            -0.022968312725424767,
            -0.020967822521924973,
            -0.048570841550827026,
            -0.03551868721842766,
            -0.03674390912055969,
            -0.021996796131134033,
            -0.0378466360270977,
            0.03440004214644432,
            0.030576083809137344,
            -0.012621345929801464,
            -0.010804662480950356,
            0.0028817104175686836,
            -0.0016225868603214622,
            0.028794676065444946,
            0.05280519276857376,
            0.01899181492626667,
            -0.05515936017036438,
            0.00237692310474813,
            -0.05521969124674797,
            0.025227895006537437,
            -0.040771711617708206,
            -0.054062508046627045,
            0.023251738399267197,
            0.010812771506607533,
            -0.009886990301311016,
            0.005214867182075977,
            -0.037689875811338425,
            0.014732777141034603,
            -0.0053230030462145805,
            -0.012678484432399273,
            -0.020910998806357384,
            -0.034494541585445404,
            -0.03623286262154579,
            0.023694222792983055,
            0.029530471190810204,
            0.060599349439144135,
            -0.021792814135551453,
            0.03344278782606125,
            -0.016523288562893867,
            0.0004548763681668788,
            -0.022630248218774796,
            -0.04753171652555466,
            -0.0008694236748851836,
            -0.025471733883023262,
            0.06470111012458801,
            -0.002681863959878683,
            0.016415635123848915,
            0.030858619138598442,
            0.10868271440267563,
            -0.015142744407057762,
            -0.018294256180524826,
            -0.008536950685083866,
            -0.0315316841006279,
            -0.0012140825856477022,
            -0.030446304008364677,
            -0.000739442533813417,
            -0.0031105850357562304,
            -0.05223897844552994,
            0.05568265542387962,
            -0.03413974121212959,
            -0.041451677680015564,
            -0.006167836487293243,
            0.04239819943904877,
            0.011961838230490685,
            -0.002703039674088359,
            0.016253197565674782,
            0.04705644026398659,
            -0.02178058587014675,
            0.004941869061440229,
            -0.004976153373718262,
            0.059388820081949234,
            -0.03378630056977272,
            -0.02306383103132248,
            -0.035514093935489655,
            -0.04526302218437195,
            0.009810909628868103,
            -0.03577648103237152,
            -0.014204704202711582,
            0.024884240701794624,
            -0.04254372790455818,
            -0.010117442347109318,
            0.010688691399991512,
            0.043652284890413284,
            0.021675702184438705,
            -0.0136497113853693,
            -0.009737011976540089,
            0.00648632412776351,
            0.00933374185115099,
            -0.013440796174108982,
            0.035029225051403046,
            0.07545912265777588,
            -0.0006574299768544734,
            -0.005496761295944452,
            0.03268790245056152,
            0.024570252746343613,
            0.016294902190566063,
            0.008444990031421185,
            0.020723726600408554,
            0.003495030337944627,
            -0.03971812501549721,
            0.003446533577516675,
            0.005315307527780533,
            -0.032830607146024704,
            0.007657879032194614,
            0.027274420484900475,
            -0.012719890102744102,
            0.02506241388618946,
            0.007452381309121847,
            -0.01969764567911625,
            -0.014745966531336308,
            -0.008699949830770493,
            0.02562093175947666,
            0.0023522297851741314,
            0.04362804442644119,
            0.01853683777153492,
            -0.013786775059998035,
            -0.003429254749789834,
            -0.014507939107716084,
            -0.03990774229168892,
            0.03778070956468582,
            0.005367587320506573,
            -0.02554490976035595,
            -0.049115438014268875,
            0.01562996208667755,
            0.06428598612546921,
            -0.028048783540725708,
            -0.0247585941106081,
            -0.03885119780898094,
            -0.04814241826534271,
            -0.016871575266122818,
            0.018553076311945915,
            0.014096802100539207,
            -0.012205495499074459,
            -0.027328744530677795,
            -0.020212912932038307,
            0.06968367844820023,
            0.024447796866297722,
            0.06652278453111649,
            -0.0038924841210246086,
            -0.005456226412206888,
            0.05486603453755379,
            -0.0009693393367342651,
            0.03548533841967583,
            -0.028079718351364136,
            -0.023844869807362556,
            -0.02958451583981514,
            0.015281638130545616,
            -0.027654215693473816,
            0.010093390941619873,
            0.005121355876326561,
            0.052305880934000015,
            0.002288642805069685,
            -0.04296610504388809,
            0.007336345501244068,
            -0.004735623486340046,
            0.018085116520524025,
            -0.01267689373344183,
            0.009503545239567757,
            0.04103822633624077,
            0.026547828689217567,
            0.012335679493844509,
            0.03424929454922676,
            -0.02306639775633812,
            -0.02233755588531494,
            0.007363742683082819,
            0.010557367466390133,
            -0.015589335933327675,
            -0.04994513466954231,
            -0.0017673952970653772,
            -0.04651610553264618,
            -0.015069488435983658,
            0.006461564917117357,
            0.013935538940131664,
            0.025145448744297028,
            -0.025112641975283623,
            0.07442934811115265,
            -0.03485783934593201,
            -0.03515983372926712,
            0.0054630436934530735,
            0.008485461585223675,
            -0.01399548351764679,
            0.011368869803845882,
            -0.02012605592608452,
            0.001742363441735506,
            0.0061524310149252415,
            0.0204410832375288,
            0.017167026177048683,
            -0.023108499124646187,
            -0.019477631896734238,
            -0.031186221167445183,
            -0.0004516954650171101,
            0.03420484811067581,
            -0.035895947366952896,
            0.03464173153042793,
            0.03564910590648651,
            -0.0041493624448776245,
            -0.04278682917356491,
            -0.032659098505973816,
            0.006934456992894411,
            -0.009885755367577076,
            -0.03598635271191597,
            -0.022954978048801422,
            -0.00023759105533827096,
            -0.0005521749262697995,
            0.020538590848445892,
            0.02561470866203308,
            0.01634577475488186,
            -0.04337653890252113,
            -0.005331628490239382,
            0.023266717791557312,
            0.03841116651892662,
            0.05753679946064949,
            0.01342632807791233,
            0.01992563158273697,
            0.003927210811525583,
            0.004954200703650713,
            0.0005482781562022865,
            -0.0021916499827057123,
            -0.008058175444602966,
            -0.029620831832289696,
            -0.00897140521556139,
            0.06203410401940346,
            0.02402571216225624,
            -0.013290688395500183,
            0.019747020676732063,
            0.016106197610497475,
            0.006350453943014145,
            -0.056829310953617096,
            0.01231817714869976,
            0.0160685908049345,
            -0.005774270743131638,
            -0.015509321354329586,
            0.0068002124316990376,
            0.013525455258786678,
            -0.030448010191321373,
            -0.02010527066886425,
            -0.002213766798377037,
            0.014676295220851898,
            0.0022204448468983173,
            -0.0009131305268965662,
            -0.0023590170312672853,
            -0.022702764719724655,
            -0.014960271306335926,
            0.041885364800691605,
            -0.01938743330538273,
            0.020955916494131088,
            0.048711635172367096,
            0.010495348833501339,
            -0.03489387035369873,
            -0.0054738461039960384,
            -0.010351249016821384,
            0.020315270870923996,
            -0.01622210070490837,
            -0.01045819092541933,
            0.0015500052832067013
        ]
    ],
    "_note": "Response truncated for documentation purposes"
}
文本嵌入bge-m3用于搜索和RAG — 代码片段

curl --location --request POST 'https://zylalabs.com/api/14100/document+and+speech+api/34833/text+embeddings+bge-m3+for+search+and+rag' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{"input": ["Zyla test: hello world", "Hola mundo"]}'

    
请求
检查作业并获取其结果。花费超过约25秒的调用(大型PDF文件,长音频)将返回202和job_id;每隔几秒钟轮询此端点,直到状态为完成。结果保存1小时
Endpoint ID: 34834
GET https://zylalabs.com/api/14100/document+and+speech+api/34834/status+or+result+of+a+job
输入参数

剩余免费测试请求:3 / 3。

API 示例响应
JSON
{
    "job_id": "420ebb435a894683baf45a85fc674cde",
    "status": "finished",
    "model": "bge-m3",
    "dimensions": 1024,
    "embeddings": [
        [
            -0.0464722141623497,
            -0.0018667300464585423,
            -0.0371648445725441,
            -0.009128189645707607,
            0.011508219875395298,
            0.04879334941506386,
            0.015451546758413315,
            0.011637936346232891,
            0.034409407526254654,
            -0.007657396141439676,
            -0.01718863658607006,
            -0.019426468759775162,
            0.006983604747802019,
            0.01361076720058918,
            0.0494811125099659,
            -0.030538933351635933,
            -0.015728916972875595,
            0.0007744300528429449,
            -0.04071548953652382,
            -0.0330025739967823,
            -0.039925795048475266,
            -0.025349698960781097,
            0.010481111705303192,
            0.057725097984075546,
            0.011553547345101833,
            0.006938023492693901,
            -0.01945289596915245,
            -0.047777432948350906,
            -0.017929373309016228,
            0.0027489946223795414,
            0.003945751115679741,
            -0.04622490331530571,
            -0.020068638026714325,
            -0.08855994790792465,
            -0.045495182275772095,
            -0.035786472260951996,
            0.02050005830824375,
            -0.031626515090465546,
            -0.049680195748806,
            0.00398241076618433,
            -0.0023152255453169346,
            0.012826946564018726,
            0.02726365067064762,
            -0.027217792347073555,
            0.008314336650073528,
            0.005185307469218969,
            0.008466667495667934,
            -0.021499808877706528,
            -0.04424712061882019,
            -0.018370209261775017,
            0.01171082817018032,
            0.008884216658771038,
            0.042054060846567154,
            0.0034155442845076323,
            0.04031505435705185,
            0.03222887963056564,
            0.024272514507174492,
            -0.037696607410907745,
            -0.06825398653745651,
            -0.03233516588807106,
            -0.020708123221993446,
            0.011472361162304878,
            0.00086175836622715,
            0.04094948619604111,
            0.013321088626980782,
            0.055446844547986984,
            0.017140628769993782,
            -0.019343767315149307,
            -0.004147707484662533,
            -0.03056744486093521,
            0.004836360923945904,
            0.0013437174493446946,
            -0.021837634965777397,
            0.019759703427553177,
            -0.01777702011168003,
            0.01743345707654953,
            0.008633836172521114,
            -0.02843315154314041,
            0.028702376410365105,
            -0.037460438907146454,
            -0.0084969038143754,
            0.01530237402766943,
            0.05886835232377052,
            0.00046952831326052547,
            -0.026879440993070602,
            0.0400034636259079,
            0.008436971344053745,
            -0.02091202139854431,
            -0.016855046153068542,
            0.015823140740394592,
            -0.018825754523277283,
            -0.040846049785614014,
            -0.004408090841025114,
            -0.02648300863802433,
            -0.040101807564496994,
            -0.016749117523431778,
            -0.04772195965051651,
            -0.010729881934821606,
            0.027728412300348282,
            0.0019339262507855892,
            -0.011177168227732182,
            -0.02008754573762417,
            0.016928447410464287,
            -0.023115191608667374,
            0.017816731706261635,
            0.010031859390437603,
            0.020718436688184738,
            0.013339154422283173,
            0.0018963207257911563,
            -0.010392547585070133,
            -0.00877289567142725,
            0.024962516501545906,
            0.045488886535167694,
            0.023440444841980934,
            0.008258449845016003,
            0.020473893731832504,
            -0.034598059952259064,
            -0.0033499712590128183,
            -0.010949326679110527,
            -0.017089439556002617,
            0.05098043754696846,
            0.002991704037413001,
            0.041186586022377014,
            -0.010161809623241425,
            -0.031187754124403,
            -0.05424121394753456,
            0.06293237209320068,
            0.017815077677369118,
            -0.04369242116808891,
            0.008646943606436253,
            -0.01110359001904726,
            0.07353390753269196,
            0.011732999235391617,
            -0.02814331464469433,
            -0.010894393548369408,
            -0.010577546432614326,
            0.0036510229110717773,
            -0.031166592612862587,
            -0.027768298983573914,
            -0.03477654978632927,
            0.01739451102912426,
            0.044342316687107086,
            -0.05605946108698845,
            -0.020559972152113914,
            -0.010283729992806911,
            -0.050063177943229675,
            0.040562279522418976,
            -0.0283510722219944,
            0.03121195361018181,
            -0.015744095668196678,
            -0.008543476462364197,
            0.0075677912682294846,
            0.0012113056145608425,
            -0.0011313175782561302,
            0.022773947566747665,
            0.0023159184493124485,
            -0.007789902854710817,
            -0.03465811908245087,
            0.004510392434895039,
            0.008851181715726852,
            0.0020095522049814463,
            0.05717214569449425,
            0.0032303754705935717,
            -0.005827932618558407,
            0.013640484772622585,
            0.0033684824593365192,
            0.022314071655273438,
            0.00918507482856512,
            0.011055565439164639,
            0.038446735590696335,
            0.023560727015137672,
            -0.06813052296638489,
            0.03183702379465103,
            -0.0460469014942646,
            0.017754483968019485,
            -0.0005308958934620023,
            0.08856499940156937,
            0.025330884382128716,
            0.00024640955962240696,
            -0.06118129938840866,
            -0.0065500992350280285,
            0.051926661282777786,
            0.03907697647809982,
            -0.02336634323000908,
            0.03454245999455452,
            -0.02669147215783596,
            0.023308400064706802,
            -0.007883391343057156,
            0.020292211323976517,
            -0.01773812063038349,
            -0.036671653389930725,
            -0.05205804482102394,
            0.030682742595672607,
            0.014629908837378025,
            0.023230653256177902,
            -0.04022481292486191,
            -0.016164127737283707,
            0.02155168168246746,
            0.02456062287092209,
            -0.010706563480198383,
            -0.030085759237408638,
            0.00530208507552743,
            -0.01380317471921444,
            -0.03822498023509979,
            -0.02491959184408188,
            0.014431408606469631,
            0.014309209771454334,
            -0.00018843795987777412,
            0.014814216643571854,
            -0.014504627324640751,
            -0.01074131578207016,
            0.002775700995698571,
            0.042363397777080536,
            0.016911180689930916,
            -0.013178769499063492,
            0.015393322333693504,
            0.057125795632600784,
            0.025147423148155212,
            -0.03010047785937786,
            -0.03155706450343132,
            0.02414689213037491,
            0.02935827523469925,
            0.045364975929260254,
            -0.032679080963134766,
            0.010364155285060406,
            0.013870828785002232,
            -0.008622677996754646,
            0.047169171273708344,
            0.046908292919397354,
            -0.0637698546051979,
            -0.007569996174424887,
            -0.015182774513959885,
            -0.03257399797439575,
            -0.018678272143006325,
            0.05370526388287544,
            -0.004776162561029196,
            -0.01430339552462101,
            0.02167040854692459,
            0.026628518477082253,
            0.010121233761310577,
            -0.062302619218826294,
            -0.024182153865695,
            0.04388730973005295,
            -0.0034580978099256754,
            -0.009360144846141338,
            -0.022418197244405746,
            0.029929164797067642,
            -0.00974380224943161,
            -0.0024123096372932196,
            -0.03111542947590351,
            0.015530704520642757,
            -0.005492634139955044,
            -0.04957010969519615,
            -0.05983327701687813,
            -0.025912189856171608,
            0.0059614940546453,
            -0.01065615750849247,
            -0.011005737818777561,
            0.013065936043858528,
            0.026562023907899857,
            -0.005515015684068203,
            -0.029546357691287994,
            -0.011400340124964714,
            0.01027169544249773,
            -0.017688127234578133,
            -0.0008369974093511701,
            -0.03785133361816406,
            0.0217633917927742,
            -0.027125390246510506,
            0.0003934203996323049,
            -0.027475636452436447,
            -0.0009278383222408593,
            0.02899765782058239
        ]
    ],
    "_note": "Response truncated for documentation purposes"
}
工作状态或结果 — 代码片段

curl --location --request GET 'https://zylalabs.com/api/14100/document+and+speech+api/34834/status+or+result+of+a+job&job_id=Required' --header 'Authorization: Bearer YOUR_API_KEY' 


    
请求
列出文本到语音接口接受的28个语音ID(美式和英式英语,女性和男性声音)作为POST /v1/tts的“voice”字段使用
Endpoint ID: 34836
GET https://zylalabs.com/api/14100/document+and+speech+api/34836/available+tts+voices
输入参数

剩余免费测试请求:3 / 3。

此端点不需要任何输入参数。

API 示例响应
JSON
{
    "voices": [
        "af_alloy",
        "af_aoede",
        "af_bella",
        "af_heart",
        "af_jessica",
        "af_kore",
        "af_nicole",
        "af_nova",
        "af_river",
        "af_sarah",
        "af_sky",
        "am_adam",
        "am_echo",
        "am_eric",
        "am_fenrir",
        "am_liam",
        "am_michael",
        "am_onyx",
        "am_puck",
        "am_santa",
        "bf_alice",
        "bf_emma",
        "bf_isabella",
        "bf_lily",
        "bm_daniel",
        "bm_fable",
        "bm_george",
        "bm_lewis"
    ]
}
可用的TTS语音 — 代码片段

curl --location --request GET 'https://zylalabs.com/api/14100/document+and+speech+api/34836/available+tts+voices' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API 访问密钥和身份验证

注册后,每个开发者都会被分配一个个人 API 访问密钥,这是一个唯一的字母和数字组合,用于访问我们的 API 端点。要使用 文档和演讲 API 进行身份验证,只需在 Authorization 标头中包含您的 bearer token。

标头
标头 描述
授权 必需 应为 Bearer access_key. 订阅后,请查看上方的"您的 API 访问密钥"。

无长期承诺。随时升级、降级或取消。 免费试用包括最多 50 个请求。

起价
$10,000/年


  • 自定义数量
  • 自定义速率限制
  • 专业客户支持
  • 实时 API 监控

概览

文档转换为Markdown(PDF,Office,HTML),光学字符识别,基于架构的JSON从文档和图像中提取,文本转语音(Kokoro,28种美式和英式英语声音)和多语言嵌入(bge-m3)

文档和演讲 API FAQs

文件最大为20MB Document to Markdown支持PDF(最多50页) DOCX PPTX XLSX XLS和HTML 扫描的PDF页面会自动进行光学字符识别 OCR支持PNG JPG TIFF BMP GIF WebP和PDF 数据提取接受最多5页的图像和PDF 请在“file”字段中发送文件 名称的扩展名告诉API文件类型

调用“从发票收据和表单中提取JSON”,在“file”字段中添加文档,在“schema”参数中添加JSON模式,例如{"type":"object","properties":{"vendor":{"type":"string"},"date":{"type":"string","description":"YYYY-MM-DD"},"total":{"type":"number"}}}。响应的“data”字段包含填充您模式的JSON。描述性的字段名称和描述可以改善结果, 可选的“instructions”参数可以添加提示。不需要模板或训练,因此任何布局都可以使用

不 文件在专用服务器上内存中处理 并在作业结束后立即删除(始终在15分钟内) 结果最多保留1小时 以便您可以提取 然后删除 没有任何内容被共享 出售 或用于训练任何模型

大多数调用在25秒内完成并直接返回结果 较长的作业(例如大PDF)返回一个状态为“排队”或“已开始”的job_id 每隔几秒用该job_id轮询“作业状态或结果”端点直到状态为“完成” 该响应然后包含完整结果 结果会保留1小时

文本转语音支持28种自然声音的英语:美国女性(af_),美国男性(am_),英国女性(bf_)和英国男性(bm_),例如af_heart,am_adam,bf_emma或bm_george。“可用TTS语音”端点列出了它们所有。将“响应”设置为“json”以接收音频的base64编码作为audio_base64(WAV,MP3或OGG)。OCR读取英语。文档转换和提取适用于任何拉丁字母语言的文档,而嵌入(bge-m3)覆盖100多种语言

一般常见问题

Zyla API Hub 就像一个大型 API 商店,您可以在一个地方找到数千个 API。我们还为所有 API 提供专门支持和实时监控。注册后,您可以选择要使用的 API。请记住,每个 API 都需要自己的订阅。但如果您订阅多个 API,您将为所有这些 API 使用相同的密钥,使事情变得更简单。
价格以 USD(美元)、EUR(欧元)、CAD(加元)、AUD(澳元)和 GBP(英镑)列出。我们接受所有主要的借记卡和信用卡。我们的支付系统使用最新的安全技术,由 Stripe 提供支持,Stripe 是世界上最可靠的支付公司之一。如果您在使用卡片付款时遇到任何问题,请通过 [email protected]

此外,如果您已经以这些货币中的任何一种(USD、EUR、CAD、AUD、GBP)拥有有效订阅,该货币将保留用于后续订阅。只要您没有任何有效订阅,您可以随时更改货币。
定价页面上显示的本地货币基于您 IP 地址的国家/地区,仅供参考。实际价格以 USD(美元)为单位。当您付款时,即使您在我们的网站上看到以本地货币显示的等值金额,您的卡片对账单上也会以美元显示费用。这意味着您不能直接使用本地货币付款。
有时,银行可能会因其欺诈保护设置而拒绝收费。我们建议您首先联系您的银行,检查他们是否阻止了我们的收费。此外,您可以访问账单门户并更改关联的卡片以进行付款。如果这些方法不起作用并且您需要进一步帮助,请通过 [email protected]
价格由月度或年度订阅决定,具体取决于所选计划。
API 调用根据成功请求从您的计划中扣除。每个计划都包含您每月可以进行的特定数量的调用。只有成功的调用(由状态 200 响应指示)才会计入您的总数。这确保失败或不完整的请求不会影响您的月度配额。
Zyla API Hub 采用月度订阅系统。您的计费周期将从您购买付费计划的那一天开始,并在下个月的同一日期续订。因此,如果您想避免未来的费用,请提前取消订阅。
要升级您当前的订阅计划,只需转到 API 的定价页面并选择您要升级到的计划。升级将立即生效,让您立即享受新计划的功能。请注意,您之前计划中的任何剩余调用都不会转移到新计划,因此在升级时请注意这一点。您将被收取新计划的全部金额。
要检查您本月剩余多少 API 调用,请参考响应标头中的 "X-Zyla-API-Calls-Monthly-Remaining" 字段。例如,如果您的计划允许每月 1,000 个请求,而您已使用 100 个,则响应标头中的此字段将显示 900 个剩余调用。
要查看您的计划允许的最大 API 请求数,请检查 "X-Zyla-RateLimit-Limit" 响应标头。例如,如果您的计划包括每月 1,000 个请求,此标头将显示 1,000。
"X-Zyla-RateLimit-Reset" 标头显示您的速率限制重置之前的秒数。这告诉您何时您的请求计数将重新开始。例如,如果它显示 3,600,则意味着还有 3,600 秒直到限制重置。
是的,您可以随时通过访问您的账户并在账单页面上选择取消选项来取消您的计划。请注意,升级、降级和取消会立即生效。此外,取消后,您将不再有权访问该服务,即使您的配额中还有剩余调用。
为了让您有机会在没有任何承诺的情况下体验我们的 API,我们提供 7 天免费试用,允许您免费进行最多 50 次 API 调用。此试用只能使用一次,因此我们建议将其应用于您最感兴趣的 API。虽然我们的大多数 API 都提供免费试用,但有些可能不提供。试用在 7 天后或您进行了 50 次请求后结束,以先发生者为准。如果您在试用期间达到 50 次请求限制,您需要"开始您的付费计划"以继续发出请求。您可以在个人资料中的订阅 -> 选择您订阅的 API -> 定价标签下找到"开始您的付费计划"按钮。或者,如果您在第 7 天之前不取消订阅,您的免费试用将结束,您的计划将自动计费,授予您访问计划中指定的所有 API 调用的权限。请记住这一点以避免不必要的费用。
7 天后,您将被收取试用期间订阅的计划的全额费用。因此,在试用期结束前取消很重要。因忘记及时取消而提出的退款请求不被接受。
当您订阅 API 免费试用时,您可以进行最多 50 次 API 调用。如果您希望超出此限制进行额外的 API 调用,API 将提示您执行"开始您的付费计划"。您可以在个人资料中的订阅 -> 选择您订阅的 API -> 定价标签下找到"开始您的付费计划"按钮。
付款订单在每月 20 日至 30 日之间处理。如果您在 20 日之前提交请求,您的付款将在此时间范围内处理。
您可以通过我们的聊天渠道联系我们以获得即时帮助。我们始终在线,时间为上午 8 点至下午 5 点(EST)。如果您在该时间之后联系我们,我们将尽快回复您。此外,您可以通过 [email protected]

相关 API


您可能还喜欢