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Speech-to-text

The complete
Speech-to-Text API

Accurate speech recognition and add-ons in a single API. Powered by proprietary Whisper-Zero ASR and optimized for real-life enterprise audio.

Go global

Gladia supports transcription, translation and code-switching in 100+ languages. Bra va? Bien, non?

Better user experience

Go beyond voice transcription with intelligent add-ons to give your platform a competitive edge.

Simple and secure

Easily integrated with any tech stack and protocol. 100% compliant data hosting. 
"It's the first time we've been able to transcribe video with such accuracy and speed - including when the conversation is technical. Whatever the language or accent, the quality is always there."

Robin Bonduelle

CEO
Trusted by 600+ AI assistants and contact center platforms

The one-stop-shop for AI speech models. Gladia goes beyond transcription, giving your platform a competitive edge

No more language barriers

Thanks to our code-switching capabilities, users can accurately transcribe calls and meetings where multiple languages and accents are spoken interchangeably.

Trust your transcript

Rest assured that key business data gets accurately transcribed and extracted, free from hallucinations. Name and entity recognition (NER) and custom vocabulary ensure unbeatable veracity.

Precision means possibilities

Gladia’s API provides timestamps for every word in the transcript, allowing for detailed analysis. Use word level timestamps to generate subtitles and locate specific sections of a transcript.

Who said what?

Gladia’s diarization feature organizes your transcripts in segments corresponding to different speakers. Mono, stereo, and multi-channel files are all supported.

Optimized for enterprise use cases

Customer experience

Real-time AI to boost productivity of call agents worldwide

Sales enablement

AI transcription and insights to transform sales calls

Meeting assistants

Flawless transcription for advanced note-taking assistants

Content and media

Streamlined editing and subtitles with time-stamped transcripts