PDF and Image to Text OCR API

API ID 14865

Extract text from a PDF or image URL. Reads the embedded text layer and runs OCR on scanned pages. 17 languages incl. English, Chinese, Malay, Japanese. Up to 10 pages per request.

API Documentation

Endpoints

Request
Extract text from one PDF or image by URL. Returns full text plus per-page text and whether each page used the text layer or OCR. lang is a comma list: en, zh-cn, zh-tw, ms, id, th, vi, ja, ko, es, fr, de, pt, it, ru, ar, hi. pages = max pages (1-10).
Endpoint ID: 38698
GET https://zylalabs.com/api/14865/pdf+and+image+to+text+ocr+api/38698/extract+text
INPUT PARAMETERS

Extract Text — Endpoint Features

Object Description
url Required PDF or image URL
lang Optional OCR languages, comma separated
pages Optional Max pages to read (1-10)

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

url
lang
pages
API EXAMPLE RESPONSE
JSON
{
    "url": "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf",
    "totalPages": 1,
    "pagesReturned": 1,
    "text": "Dummy PDF file",
    "pages": [
        {
            "page": 1,
            "method": "ocr",
            "chars": 14,
            "text": "Dummy PDF file"
        }
    ]
}
Extract Text — CODE SNIPPETS

curl --location --request GET 'https://zylalabs.com/api/14865/pdf+and+image+to+text+ocr+api/38698/extract+text?url=https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf&lang=en&pages=10' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the PDF and Image to Text OCR API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

No long-term commitment. Upgrade, downgrade, or cancel anytime.

Starts at
$10,000/Year


  • Custom Volume
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  • Specialized Customer Support
  • Real-Time API Monitoring

Overview

Extract text from a PDF or image URL. Reads the embedded text layer and runs OCR on scanned pages. 17 languages incl. English, Chinese, Malay, Japanese. Up to 10 pages per request.

PDF and Image to Text OCR API FAQs

The API returns extracted text from PDF or image URLs, including the complete text and per-page text details. It indicates whether the text was retrieved using an embedded text layer or OCR.

Key fields in the response include "url" (source URL), "totalPages" (total pages in the document), "pagesReturned" (number of pages processed), "text" (full extracted text), and "pages" (details for each page, including method and text).

The endpoint accepts parameters such as "url" (the PDF or image URL) and "pages" (the maximum number of pages to process, ranging from 1 to 10). Users can customize requests by specifying these parameters.

The response data is structured in JSON format. It includes a summary of the document and an array of page objects, each containing details like page number, extraction method, character count, and extracted text.

Typical use cases include digitizing printed documents, extracting text for data analysis, converting scanned materials into editable formats, and enabling accessibility for visually impaired users by converting images to text.

Users can parse the JSON response to access the full text or specific page details. This allows for integration into applications for text analysis, document management, or further processing based on the extracted content.

Data accuracy is maintained through the use of advanced OCR technology and by reading embedded text layers when available. This dual approach helps ensure higher accuracy in text extraction from various document types.

Users can expect a consistent response structure with fields for total pages, pages returned, and detailed page information. The text extraction method may vary, with some pages using OCR and others using embedded text layers.

General FAQs

To obtain your API key, first sign in to your account and navigate to the API you want to use. From the API's Pricing section, choose a plan and complete the subscription process. Once subscribed, return to the API page and you will see your API Access Key displayed at the top of the documentation page. You can use this key to authenticate your requests.

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