Convert French speech-to-text with high accuracy, low latency, and enterprise-grade scalability. Deepgram delivers real-time and batch transcription through a developer-first speech-to-text API.
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Get real-time French speech-to-text in under 300 ms while maintaining high accuracy in noisy, accented, or overlapping conversations.

Build and scale global voice agents with one model
Supports 10 languages in a single conversational model, enabling teams to build and deploy voice agents globally with one integration. No per-language infrastructure or model orchestration required.
Ultra-low latency conversational speech recognition
Model-based turn detection delivers accurate end-of-turn decisions in under 400 ms, keeping conversations fluid and responsive across languages.
Monolingual-grade accuracy with real-time control
Flexible real-time control through language hints or automatic detection, with native code-switching and dynamic adaptation as conversations evolve.
Speakers: 312 million total speakers
Regions: France, Canada (Quebec), Belgium, Switzerland, North America, Africa, Caribbean
Dialects: Metropolitan French, Quebec French, Acadian French, Swiss French, Belgian French, African French varieties
Writing system: Latin alphabet with diacritics (accents aigu, grave, circonflexe, diaeresis, cedilla)
Language family: Indo-European > Romance > Western Romance > Gallo-Romance
French is widely used across Europe, North America, Africa, and the Caribbean, making it a key language for call center analytics, customer support AI, healthcare transcription, media captioning, legal proceedings, educational content, and multilingual voice agents serving global Francophone markets.

Deepgram includes everything required to produce accurate, readable, and secure French transcripts out of the box.
Automatically detect and label who is speaking in multi-speaker French conversations.
Apply automatic capitalization, paragraphing, and clean transcript structure for French text.
Instantly find words or phrases inside long French recordings without reprocessing audio.
Segment streaming French audio into real-time sentence-level units for voice agents.
Add accurate punctuation and capitalization to French transcripts for easy reading.
Automatically remove sensitive data like credit cards, phone numbers, and PII from French transcripts.

Keyterm prompting for French
Boost recognition of brand names, product terms, and domain-specific vocabulary in French audio to improve keyword recall and transcript accuracy.

Automatic language detection
Identify when audio is spoken in French and transcribe it without pre-selecting a language. For mixed-language datasets, sources, and batch transcription pipelines.

Multilingual speech recognition
Transcribe audio where speakers switch between French and other supported languages in the same stream without model swapping or post processing required.
Start with French speech-to-text, then expand to 45+ languages using the same API, models, and tooling.
Start transcribing French audio with Deepgram's speech to text API. It is fast, accurate, and built for real-time applications.