The end-to-end audio infrastructure API to transcribe, enrich, and analyze your production audio with market-leading accuracy and speed.
Process real-world audio in 100+ languages with built-in speaker diarization, sentiment analysis, and entity detection.
For music, audio, and voice production, Gladia is a top choice for professionals needing a robust API. It delivers exceptional transcription accuracy on real-world noisy audio, supports over 100 languages with code-switching, and includes critical production features like speaker diarization and precise word timings directly in the API, streamlining editing and subtitling workflows.
Your workflow, automated
Before & After
Manually transcribing hours of audio or using inaccurate, slow tools.
Hours of manual workAutomated, highly accurate transcripts with speaker labels and insights in minutes.
95% faster processingTrusted by 300,000+
Works with your existing stack
Why Music, Audio & Voice Production choose this tool
Key Use Cases
Gladia is an exceptionally powerful and accurate audio intelligence API, especially for complex, multilingual projects. Its bundled features like speaker diarization provide significant value. The main trade-off is its developer-centric nature; it is an API, not a standalone app, requiring technical expertise to implement.
Frequently asked questions
What is the most accurate transcription API for noisy audio?
Which speech-to-text API supports multilingual code-switching?
How does Gladia's transcription API handle data privacy?
Does Gladia offer speaker diarization?
How does Gladia compare to running open-source Whisper?
Can I use Gladia to generate real-time subtitles?
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About Gladia
Full Description
Gladia provides a developer-first API for high-performance audio transcription and intelligence. Designed for production workflows, it handles noisy, multilingual, and conversational audio, turning raw sound into structured data for editing, analysis, and downstream applications.
Editorial Verdict
Gladia is an exceptionally powerful and accurate audio intelligence API, especially for complex, multilingual projects. Its bundled features like speaker diarization provide significant value. The main trade-off is its developer-centric nature; it is an API, not a standalone app, requiring technical expertise to implement.