Free Estonian Transcription
Transcribe Estonian audio and video to text with AI. Fast, accurate, and free.
How It Works
- Go to the Free.ai Transcriber
- Upload your Estonian audio or video file
- Our AI automatically detects Estonian and transcribes it
- Download your transcript as text or SRT subtitles
Estonian Transcription Features
- ✓Powered by faster-whisper (MIT licensed)
- ✓Automatic Estonian language detection
- ✓Supports MP3, WAV, MP4, M4A, FLAC, and more
- ✓Timestamps and subtitle export (SRT)
- ✓No file size limits on paid plans
- ✓Private and secure -- files are deleted after processing
Language Details
| Language | Estonian |
| ISO Code | et |
| AI Model | faster-whisper |
| Price | Free |
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View All LanguagesFAQ
Estonian is a mid-resource language for Whisper — large-v3-turbo lands in the 15-25% word error rate band. The gist of the transcript is reliable; expect named-entity errors, occasional code-switching glitches, and short-utterance misfires. Plan a human pass for publication-quality output. (Tier C, 15-25% word error rate on benchmark sets - we publish honest WER tiers rather than marketing claims.)
Yes - Estonian transcription draws from your daily free token pool first. Audio costs about 50 tokens per minute, so the anonymous daily pool covers a few hours of audio per day. Signed-in accounts get a larger 30,000-token daily pool. Past that, transcription is pay-as-you-go, with token top-ups from $1.
Estonian transcripts are returned in standard UTF-8 with the language's normal orthography.
MP3, WAV, M4A, FLAC, OGG, OPUS, and WEBM are accepted directly. For video (MP4, MOV, MKV) we extract the audio track server-side before sending it to Whisper - you do not need to convert anything yourself. Same pipeline regardless of source language, including Estonian.
Anonymous uploads cap at roughly 500 MB per file. Signed-in accounts go up to 2 GB. Duration is not a hard limit - long files are chunked automatically (30-second windows with overlap) and stitched back into a single transcript with continuous timestamps. Multi-hour Estonian recordings (podcasts, full lectures, meetings) work fine.
Yes - speaker diarization is on by default for every Estonian transcript. The output is segmented as Speaker 1 / Speaker 2 / Speaker 3 with timestamps, so interviews, panel discussions, and multi-party meetings come back labeled. Diarization runs on a separate model and works the same across all languages we support.
Yes - paste the URL into /transcribe/youtube/ for YouTube or /transcribe/podcast/ for podcast feeds (Apple, Spotify, RSS). We download the audio, run it through Whisper with language=et, and return the transcript with timestamps and speaker labels. Typical Estonian content: lectures, interviews, voice notes, and YouTube content in Estonian all work - paste a URL into /transcribe/youtube/ or upload the file directly.
Whisper costs about 50 tokens per minute of audio, so a one-hour recording is ~3,000 tokens. Most users never spend anything - the free daily pool of 30,000 tokens covers short clips, voice notes, and one-off podcasts. Beyond it, transcription is pay-as-you-go, with token top-ups from $1.
Yes - both segment-level (every ~10-30 seconds) and word-level timestamps are available. Word-level is the default for VTT/SRT subtitle export so the captions sync line-by-line. On the API set timestamps="word" in the request body. Estonian transcripts are returned in standard UTF-8 with the language's normal orthography.
Yes. POST audio (multipart/form-data, field name "file") to /v1/transcribe/ with language=et - or omit the language parameter to let Whisper auto-detect. Returns JSON with the transcript, segments, timestamps, and speaker labels. Full reference and SDK snippets at /api/.
Yes - once transcription finishes, click Translate or paste the text into /translate/. Estonian pairs with every other language we support (200+). For meeting minutes pipe the transcript through /summarize/; for dubbing send it to /voice/tts/ to render audio in the target language.
Whisper's noise robustness still applies on Estonian, but at this accuracy tier any extra noise compounds the baseline error rate. Clean headset audio gives noticeably better results than phone or laptop-mic recordings. If a transcript comes back unusable, email contact@free.ai with the file - we will refund the tokens and look at whether a different engine handles your audio better.