Audio Transcription (Whisper): Speech to Text, SRT and VTT
Pricing
Pay per usage
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Audio Transcription (Whisper): Speech to Text, SRT and VTT
Pricing
Pay per usage
You can access the Audio Transcription (Whisper): Speech to Text, SRT and VTT programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
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Web-page links (YouTube, TikTok, Instagram and similar) are refused with a per-file error. Localhost and private addresses are refused. Max 500 MB per file.", "items": { "type": "string" } }, "model": { "title": "Whisper model", "enum": [ "base", "small" ], "type": "string", "description": "base uses less compute and runs at roughly 2x real time on the default memory; small is more accurate and about 2-3 times slower (so costs more usage).", "default": "base" }, "language": { "title": "Language", "type": "string", "description": "ISO code such as en, de, es, or auto to detect it from the audio.", "default": "auto" }, "outputFormats": { "title": "Output formats", "type": "array", "description": "Plain text is always returned. 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It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Audio Transcription (Whisper): Speech to Text, SRT and VTT from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
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