MP3 to Text Converter

Three genuinely free options: (1) VexaScribe gives 30 minutes free on signup — enough for one ~30-minute file. (2) OpenAI Whisper installed locally on your computer is 100% free and unlimited, but requires a Python setup (~15-minute install if you've never used Python). (3) Free online tools work for very short files but cap at 25 MB (~30 minutes of standard MP3). For repeated use, paid plans start at $2/month for 200 minutes. Avoid free "converter" sites that use old 2018-era speech engines — accuracy is much worse than modern Whisper-based tools.

No. Modern AI transcription tools (Whisper, AssemblyAI, Deepgram, VexaScribe, Rev AI) accept MP3 files directly. There's no accuracy benefit to converting MP3 → WAV first — the underlying speech recognition models work on the same audio representation regardless of source format. The "convert to WAV first" advice comes from old 2018-era APIs (early Google Cloud Speech v1, IBM Watson) that have since been deprecated. The only reason to convert is if your tool has a small file-size cap and WAV→MP3 would reduce size — but MP3 is already compressed, so you'd be going the wrong direction.

Depends on the tool. Most free online tools cap at 25 MB (~30 minutes of standard 128 kbps MP3). Otter free tier and Notta free tier hit limits around 25-40 MB. VexaScribe accepts up to 5 GB per file. AssemblyAI API has no hard cap. OpenAI Whisper installed locally has no cap at all. If you have a 2-hour MP3 (~110 MB), most free tools will reject it — either use a tool with higher limits, split the file into chunks, or compress to lower bitrate (64 kbps cuts size in half with minimal accuracy loss).

Modern Whisper-based tools (including VexaScribe, AssemblyAI, Deepgram) achieve roughly 92-97% word accuracy on clear English audio per the Open ASR Leaderboard and OpenAI's published benchmarks. Accuracy drops on: heavy accents (~85-92%), noisy environments (~80-90%), technical jargon (medical, legal, engineering), and overlapping speakers. For mission-critical work (legal transcripts, medical records), AI gets you to ~95% then human review catches the last 5%. For most personal and content-creator use, AI alone is sufficient.

Depends on the content and the vendor. Public content (podcasts, public lectures) — any tool is fine. Internal business (meetings, internal calls) — check the vendor's data retention and training policy; reputable tools don't use your audio to train models. Confidential content (legal, medical, HR, personal therapy) — use either a vendor with documented data residency (VexaScribe doesn't train on customer audio and supports file deletion) or install OpenAI Whisper locally so the file never leaves your computer. Avoid unknown free "converter" sites that don't disclose their data policy — they're the highest-risk option.

AI online tools process about 10-15% of audio length: a 1-hour MP3 takes ~5-10 minutes, a 30-minute MP3 takes ~3-5 minutes. Whisper installed locally depends on hardware — GPU is roughly 10x faster than real-time, CPU is roughly real-time speed. Human transcription services (Rev, GoTranscript) take 4-24 hours regardless of file length. Don't trust "instant" claims for files over a few minutes — quality transcription requires processing time.

Yes. VexaScribe supports 99 languages including Spanish, French, German, Portuguese, Italian, Mandarin, Japanese, Korean, Arabic, Turkish, Hindi, Indonesian, and many more. The language is auto-detected from the audio, or you can specify it manually for best results (especially if your file starts with non-speech audio like music). For non-English content, Whisper-based tools generally outperform older speech recognition engines significantly — Whisper was trained on 680,000 hours of multilingual data.

Yes. WhatsApp voice notes are technically OPUS/AAC inside an OGG or M4A container, but most file-management apps export them as MP3 or M4A when you save to your device. Both formats work with VexaScribe and most other transcription tools — no conversion needed. If your phone saved the file with a .opus extension, rename it to .mp3 or use a free format detector to confirm — most tools auto-detect the actual codec regardless of extension.

Yes. VexaScribe transcripts include word-level timestamps and speaker diarization ("Speaker 1", "Speaker 2", etc.). Timestamps make it easy to jump to a specific moment in the audio. Speaker labels are best with 2-6 distinct voices — accuracy drops with overlapping speech or very similar-sounding speakers. SRT export uses timestamps formatted as video subtitles; TXT and DOCX exports keep timestamps inline for reference.