Transcription and subtitles from Amsterdam, by machine or by humans, with data kept in Europe and ISO 27001 certification.
Transcription: AI tools compared (October 2026)
How results are ranked: How we review
Results
Voice API for transcription, text to speech and voice agents, billed per minute, in the cloud or self-hosted.
Video and audio editor where you cut through the transcript, with the Underlord AI co-editor, Studio Sound and translation.
French speech-to-text API for 100+ languages, run by default on a European cloud provider in France.
AI transcription, subtitles and translation from Dublin, with meeting notes and data hosting in the EU.
AI APIs from Bengaluru for translation, speech recognition and speech synthesis in 22 Indian languages and English.
Speech recognition API from Cambridge for realtime and batch, 55+ languages, speaker diarization, cloud or self-hosted.
Automated audio post-production from Austria for podcasts and videos: levels, noise, filler words, transcripts and chapters.
Voice AI platform for text to speech, voice cloning, transcription, dubbing and music, as a web app and via API.
Chrome extension from Sydney that transcribes meetings in Google Meet, Zoom and Teams without a bot and summarizes them with AI.
Open-source speech recognition toolkit from Alibaba (Tongyi Lab, ModelScope) with streaming, speaker diarization and emotion recognition.
Mozilla.ai project that packs a language model and its runtime into a single executable file with no installation.
Open-source Python toolkit for speaker diarization (who speaks when), maintained by the French company pyannoteAI.
Microsoft report on VibeVoice, a model for long-form speech synthesis with up to four speakers, since extended to speech recognition.
Open speech recognition model from OpenAI under the MIT license for multilingual transcription, translation to English and language ID.
Open-source speech recognition based on Whisper with word-level timestamps and speaker diarization.
Windows desktop app that transcribes audio and video locally on your own computer, with speaker labels, editing and export to TXT, DOCX, SRT and VTT.
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