CATEGORY
AI Speech-to-Text Tools
Speech recognition has improved to the point where accuracy on clear audio in a well-resourced language is rarely the constraint. What separates tools now is everything around the transcript: speaker diarisation, timestamps, custom vocabulary for names and jargon, handling of overlapping speech, and whether processing happens on your machine or on someone else's servers. That last point is the decisive one for legal, medical and journalistic work, where the recording itself is confidential.
Free AI transcription for audio and video in 100+ languages
This page lists 3 tools filed under Speech-to-Text , including ElevenLabs and Riverside Audio Transcription . Each listing sets out what the tool does, its current plans, and where it falls short. Nothing here is ordered by payment — how listings are written and funded is explained on our about page.
Frequently Asked Questions About Speech-to-Text AI Tools
What accuracy should I expect?
Well above ninety percent on clear, single-speaker audio in a major language — and that figure drops fast with background noise, crosstalk, strong accents, phone-quality audio and domain jargon. The errors cluster exactly where they matter: names, numbers and technical terms. Custom vocabulary support is the feature that most improves real-world accuracy.
Can it separate multiple speakers?
Diarisation is decent with distinct voices and clean audio, and unreliable when people talk over each other, when voices are similar, or when someone is far from the microphone. Expect to correct speaker labels on group recordings. Separate microphones per speaker, where possible, solves this more effectively than any software feature.
Should I use local or cloud transcription?
Cloud is more accurate and faster for most people. Local processing is the right answer when the recording cannot leave your machine — privileged conversations, patient information, confidential sources — and open models running locally are now good enough that the accuracy sacrifice is modest. For confidential material, that trade is usually worth making.