The Voice to Text API is an advanced technology solution designed to seamlessly convert spoken language into written text. This API excels at interpreting speech and producing precise text representations by utilizing neural networks and extensive data sets, enabling it to transcribe a broad range of languages, accents, and dialects.
Built with scalability in mind, the API efficiently manages varying amounts of speech data, from brief voice commands to lengthy dialogues. Its flexibility supports both individual requests and large-scale implementations, making it a versatile tool for diverse applications.
In summary, the Voice to Text API represents a major advancement in natural language processing and speech recognition. Combining cutting-edge technology with a focus on user needs, it delivers a robust solution for translating speech into text. Its accuracy, adaptability, and broad applicability make it a valuable asset for everything from everyday communication to specialized industry tasks.
The API receives an audio file and returns a text.
Voice Assistants: Enhancing the functionality of virtual assistants like Siri, Alexa, and Google Assistant by enabling them to understand and process user commands and queries in natural language.
Transcription Services: Automatically converting audio from meetings, interviews, and lectures into text for documentation and record-keeping purposes.
Customer Service: Improving customer support by transcribing voice interactions between customers and service agents, enabling better analysis and follow-up.
Speech Analytics: Analyzing spoken interactions for insights into customer sentiment, behavioral patterns, and engagement levels in call centers or during marketing campaigns.
Language Learning: Supporting language learners by transcribing spoken practice sessions and providing feedback on pronunciation and fluency.
Content Creation: Aiding content creators and journalists by transcribing interviews, podcasts, or speeches, which can then be used for articles, blogs, or other written content.
Besides the number of API calls, there is no other limitation.
To use this endpoint you must specify an mp3 file to receive the audio text.
Get Text - Endpoint Features
Object | Description |
---|---|
Request Body |
[Required] File Binary |
{
"text": "Hola a todos, espero que se encuentren bien."
}
curl --location 'https://zylalabs.com/api/4919/voice+to+text+api/6191/get+text' \
--header 'Content-Type: multipart/form-data' \
--form 'image=@"FILE_PATH"'
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
No long term commitments. One click upgrade/downgrade or cancellation. No questions asked.
To use this API, users must specify an audio file.
The Voice to Text API converts spoken language into written text using advanced algorithms, enabling accurate transcription and understanding of audio inputs.
Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.
There are different plans suits everyone including a free plan for small amount of requests per day, but itβs rate is limit to prevent abuse of the service.
Receives the text of an audio file in JSON format.
The Voice to Text API returns transcribed text from the provided audio file in JSON format. The response includes the recognized speech as a string, allowing easy integration into applications.
The primary field in the response data is "text," which contains the transcribed spoken language. This field provides the exact text representation of the audio input.
The response data is structured in JSON format, with key-value pairs. The main key is "text," which holds the transcribed content, making it straightforward to parse and utilize in applications.
The primary parameter for the POST Get Text endpoint is the audio file (in mp3 format). Users must ensure the audio file is correctly formatted for successful transcription.
Users can customize their requests by providing different audio files for transcription. The API adapts to various languages and accents, enhancing the versatility of the output.
Typical use cases include creating transcripts for meetings, enhancing voice assistants, and supporting language learning. The API is also useful for content creation and customer service analytics.
Data accuracy is maintained through advanced algorithms and neural networks trained on extensive datasets. Continuous updates and improvements ensure high-quality transcriptions across various languages and dialects.
Users can expect the transcribed text to closely match the spoken content, with variations based on audio quality and clarity. The API handles diverse accents and speech patterns effectively, providing reliable outputs.
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To check how many API calls you have left for the current month, refer to the βX-Zyla-API-Calls-Monthly-Remainingβ field in the response header. For example, if your plan allows 1,000 requests per month and you've used 100, this field in the response header will indicate 900 remaining calls.
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When you subscribe to an API free trial, you can make up to 50 API calls. If you wish to make additional API calls beyond this limit, the API will prompt you to perform an "Start Your Paid Plan." You can find the "Start Your Paid Plan" button in your profile under Subscription -> Choose the API you are subscribed to -> Pricing tab.
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