The Speech Analysis API accurately converts audio into text, offering seamless integration across various applications. It utilizes advanced speech recognition and AI to deliver precise transcriptions for diverse industries and use cases. Whether processing live speech or pre-recorded audio files, this API ensures reliable and error-minimized conversion.
A standout feature of this API is its multilingual support, enabling high-accuracy transcription in multiple languages. This makes it an essential tool for users requiring transcriptions across different linguistic contexts.
To use this endpoint you must indicate the URL of an audio in the parameter.
Obtain Text - Endpoint Features
| Object | Description |
|---|---|
url |
[Required] Indicates a URL |
{"success":true,"audio_file":"https://s19.aconvert.com/convert/p3r68-cdx67/c2iut-davq3.mp3","output":{"text":"Oggi che il sole.","result":{"text":"Oggi che il sole.","word_count":4,"vtt":"WEBVTT\n\n00.000 --> 01.120\nOggi che il sole.","words":[{"word":"Oggi","start":0,"end":0.3400000035762787},{"word":"che","start":0.3400000035762787,"end":0.5400000214576721},{"word":"il","start":0.5400000214576721,"end":0.7200000286102295},{"word":"sole.","start":0.7200000286102295,"end":1.1200000047683716}]}}}
curl --location --request POST 'https://zylalabs.com/api/6371/speech+analysis+api/9136/obtain+text?url=https://s19.aconvert.com/convert/p3r68-cdx67/c2iut-davq3.mp3' --header 'Authorization: Bearer YOUR_API_KEY'
| 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. Free Trial includes up to 50 requests.
The Speech Analysis API returns transcribed text from audio input. The output includes the recognized speech in text format, which can be utilized for various applications such as subtitles, documentation, or analysis.
The key fields in the response data typically include "transcription" for the converted text, "language" indicating the detected language, and "confidence" reflecting the accuracy of the transcription.
The primary parameter for the POST Obtain Text endpoint is the "audio_url," which specifies the URL of the audio file to be transcribed. Additional parameters may include "language" to specify the desired language for transcription.
The response data is organized in a JSON format, containing key-value pairs. The main structure includes fields for the transcription, language, and confidence score, allowing for easy parsing and integration into applications.
Typical use cases include generating subtitles for videos, creating transcripts for meetings or interviews, enhancing accessibility for hearing-impaired users, and analyzing spoken content for insights in various industries.
Data accuracy is maintained through advanced speech recognition algorithms and continuous training on diverse datasets. The API also employs quality checks to minimize errors and improve transcription reliability.
Users can customize their requests by specifying the "language" parameter to target specific languages for transcription. This allows for tailored outputs based on the audio content's linguistic context.
Standard data patterns include coherent sentences with proper punctuation and capitalization. Users can expect variations in accuracy based on audio quality, speaker accents, and background noise levels.
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