Deepgram | Nova-3 | Speech to Text Pro.
- Deepgram
- Voice to Text
- $0.0000725–$0.000148 per second, depending on detect entities and language code and redact
Deepgram Nova-3 Pro delivers advanced speech-to-text with built-in AI features like summarization, topic and entity detection, sentiment and intent analysis, plus smart formatting and redaction.
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Deepgram Nova-3 Speech to Text Pro is useful when this specific operation fits between source preparation and delivery. These scenarios show how it can support…
Sınırlar ve ipuçlarıUse clean source material where the request accepts audio or video.
For a generative prompt, describe the desired sound, pacing and arrangement clearly. Change one exposed control at a time when comparing a result.
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Model dokümantasyonu
Bu model hakkında
Deepgram Nova-3 Pro delivers advanced speech-to-text with built-in AI features like summarization, topic and entity detection, sentiment and intent analysis, plus smart formatting and redaction.
Overview
Deepgram Nova-3 Speech to Text Pro Overview
Deepgram Nova-3 Pro delivers advanced speech-to-text with built-in AI features like summarization, topic and entity detection, sentiment and intent analysis, plus smart formatting and redaction.
The model transcribes a media URL and exposes speaker, formatting and analysis controls in one request.
Deepgram Nova-3 Speech to Text Pro from Deepgram is available through each::labs in the nova-3 family. Required fields are media_url.
language_code: Language of the audio (BCP-47 code). diarize: Identify different speakers.
Use the Deepgram Nova-3 Speech to Text Pro API when you need this transformation or analysis as a repeatable step in an application or creative pipeline. The sections below distinguish the required material, adjustable controls and checks that matter before delivery.
Capabilities
Capabilities
- The model transcribes a media URL and exposes speaker, formatting and analysis controls in one request.
- language_code: Language of the audio (BCP-47 code).
- diarize: Identify different speakers.
- summarize: Generate a summary of the transcript.
- media_url: Audio file URL to transcribe.
Use cases
Use Cases for Deepgram Nova-3 Speech to Text Pro
Deepgram Nova-3 Speech to Text Pro is useful when this specific operation fits between source preparation and delivery. These scenarios show how it can support different parts of a working pipeline.
Creators
Transcribe an interview with speaker labels. Use a representative source or a concise brief, then inspect the result before preparing a larger set of assets.
Design and marketing teams
Extract discussion topics from a call. Compare the result with the intended message, composition and destination. Keep reviewable versions of the source and output.
Developers
Prepare a readable transcript with selected redaction. Inspect the actual returned value before connecting it to another step, and keep the chosen request settings with the result.
Start with a clear definition of the desired result and use the exposed controls to reach it. Keep any additional generation, editing or application logic in separate steps so that the effect of this operation remains easy to review.
Tips & tricks
Tips and Tricks
Use clean source material where the request accepts audio or video. For a generative prompt, describe the desired sound, pacing and arrangement clearly. Change one exposed control at a time when comparing a result.
- diarize: Identify different speakers.
- summarize: Generate a summary of the transcript.
Set the named operation controls directly. This entry has no general creative-prompt interface; supplying an invented prompt field will not replace a required source or numeric setting.
Compare one deliberate adjustment at a time. Inspect the part of the result affected by that change, then check the rest of the asset or response for unwanted side effects before reusing the settings.
Technical spec
Technical Specifications
- Result type: object.
- Required fields: media_url.
- smart_format: boolean; default true.
- language_code: string; options auto, multi, tr, ur, en, nl, uk, es, ar, de, fr, it, ja, ko, pt, ru, zh, hi, bn, cs, da, fi, el, he, hu, id, ms, no, pl, ro, sk, sv, ta, te, th, vi; default "auto".
- diarize: boolean; default true.
- summarize: boolean; default true.
media_url: Audio file URL to transcribe.
Values must use the types and accepted options listed in the parameter reference. A displayed default does not remove a required-field requirement. Choose a supported output setting for this entry rather than borrowing a preset from a related model.
Things to be aware of
Things to Be Aware Of
Listen to the full result and inspect any returned structured data separately. Pronunciation, timing, unwanted sounds and transitions can require manual review even when a request completes successfully.
Optional settings are not necessarily interchangeable with those on another entry in the same family. Use the accepted names, types and values shown for this operation.
For media-based inputs, supply a directly retrievable file URL rather than a page containing the asset. Keep the source available while processing. Check the final content in the destination player, editor or application, not only the request status.
Key considerations
Key Considerations
Some options depend on others: paragraphs requires punctuation, utterance splitting requires utterances, and key terms are Nova-3-specific. Review transcription and extracted analysis independently.
Several pricing tiers apply. Check the full pricing reference for the chosen settings and supplied references rather than assuming one flat charge.
Prepare media_url before starting. Optional settings include language_code, diarize, summarize. Keep these settings aligned with the intended delivery, especially when a later step expects a particular type or format.
Run a representative request before scaling to a larger collection. Judge the result against the source and the brief, and account for all generated outputs or usage-sensitive options when estimating a batch.
Limitations
Limitations
- language_code: allowed values: ["auto", "multi", "tr", "ur", "en", "nl", "uk", "es", "ar", "de", "fr", "it", "ja", "ko", "pt", "ru", "zh", "hi", "bn", "cs", "da", "fi", "el", "he", "hu", "id", "ms", "no", "pl", "ro", "sk", "sv", "ta", "te", "th", "vi"].
- redact: allowed values: ["pci", "pii", "phi", "numbers"].
Unsupported parameters do not establish additional capabilities. A generated result can differ from the intended brief, so review detail and consistency before publication.
Bu model hakkında sorular
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Deepgram Nova-3 Speech to Text Pro is an advanced ASR model by Deepgram offering best-in-class transcription accuracy, low latency, and support for multiple languages. The Pro variant includes enhanced punctuation, speaker confidence scores, and optimized noise robustness.
Deepgram Nova-3 Pro is available through the eachlabs unified API. Send an audio file as input; the model returns a structured JSON transcript with word-level timestamps. Access is pay-as-you-go through eachlabs no separate Deepgram subscription required.
Deepgram Nova-3 Pro is best suited for enterprise transcription pipelines, real-time meeting transcription, and call center analytics requiring high accuracy across accents and noisy environments. The Pro tier is especially effective for production-grade deployments with strict accuracy requirements.