Convert MP3 to Text Online — Accurate, Fast, Free to Try
Drop any MP3 into Musely. Seed-ASR 2.0 transcribes 51 languages at 97.3% accuracy with speaker labels, timestamps, and recordings up to 120 minutes.
Musely Convert MP3 to Text is a browser-based transcription tool that converts MP3 audio files into accurate, formatted text using Seed-ASR 2.0. It supports 51 languages with automatic language detection, achieves 97.3% transcription accuracy on clear speech, and processes recordings up to 120 minutes per upload. Choose from 4 presets — Clean Transcript, Verbatim Transcript, Formatted Document, and Speaker-Labeled Transcript — and toggle speaker diarization, [MM:SS] timestamps, and paragraph break style. Output translates into 48 languages and exports as TXT, DOCX, or Markdown, with no software installation required.
Under the Hood
🤖ASR Engine
Transcript Output
Convert MP3 to Text in 3 Steps
Upload Your MP3 File
Drag and drop your MP3 directly into Musely. Also accepts MP4, WAV, M4A, OGG, WebM, and MOV files up to 120 minutes. The audio language is auto-detected, or set it manually for best accuracy on non-English recordings.
Choose a Preset and Configure Output
Pick a transcript preset: Clean Transcript for readability, Verbatim Transcript for legal and research use, Formatted Document for lectures with headings, or Speaker-Labeled for interviews. Toggle Speaker Labels and Timestamps, set Paragraph Breaks (Short, Standard, or Long), and pick an output language for translation.
Download Your Transcript
Musely processes the MP3 and returns the formatted text within minutes. Review the transcript with speaker turns and timestamps, then copy to clipboard or download as TXT, DOCX, or Markdown for sharing.
Who Converts MP3 to Text with Musely
Turn lecture MP3s into searchable study notes
I record every 90-minute lecture on my phone and used to spend hours rewinding for quotes. The Formatted Document preset breaks the audio into topic paragraphs with subheadings, so I can scan a whole lecture in 5 minutes. Verbatim mode gives me citation-ready quotes for my thesis.
Transcribe interview recordings with speaker attribution
I run 4-5 interviews a week and need clean text I can quote directly. The Speaker-Labeled preset puts each turn on its own line with names attached. Timestamps let me jump straight to the relevant moment in the original MP3 when fact-checking.
Generate show notes and SEO blog posts from episodes
Each weekly episode is 45-60 minutes. I upload the MP3 and Musely returns a Formatted Document version with subheadings I can paste straight into my blog. The 51-language support means I can repurpose Spanish guest interviews without paying a separate transcription service.
Produce verbatim transcripts for coding and analysis
My IRB requires verbatim transcripts of every participant interview, including filler words and non-verbal markers. The Verbatim Transcript preset preserves every uh and um, plus brackets like [pause]. I run 30+ MP3s per study and the consistency saves me from manual cleanup.
Transcribe depositions and recorded calls for case files
Verbatim mode and timestamps are required for evidentiary references. Musely's Speaker-Labeled preset attributes every line correctly across multi-party calls, and the [MM:SS] markers let me cite the exact moment in the audio. Saves my paralegal hours per case.
Convert recorded meetings into shareable minutes
I record sales calls and internal syncs as MP3 voice memos. The Clean Transcript preset removes filler words and produces polished text I can drop into Slack or email. Translation into Mandarin lets me share decisions with our Shanghai team without rewriting.
Musely vs. Other MP3 to Text Tools
| Feature | Musely | Otter.ai | HappyScribe | Notta |
|---|---|---|---|---|
| Transcription Accuracy | ✓ 97.3% (Seed-ASR 2.0) | ⚠ Good (proprietary) | ⚠ Good (Whisper) | ⚠ Good (proprietary) |
| Audio Languages | ✓ 51 with auto-detect | ⚠ 36 | ✓ 120+ | ✓ 58 |
| Transcript Style Presets | ✓ 4 (Clean / Verbatim / Formatted / Speaker-Labeled) | ✗ Summary only | ⚠ Clean and verbatim | ✗ Clean only |
| Speaker Diarization | ✓ Toggle with auto-labeling | ⚠ Yes (paid) | ✓ Yes | ✓ Yes |
| Max MP3 Duration | ✓ 120 minutes | ⚠ 40 min (free) | ⚠ 30 min (free) | ✗ 5 min (free) |
| Translation Output | ✓ 48 languages | ✗ English only | ⚠ Pay per language | ✓ 42 languages |
| Export Formats | ✓ TXT / DOCX / Markdown / TXT / SRT / TXT / SRT / DOCX | ⚠ TXT | ✓ DOCX |
What Users Say
4.8/5 based on 3,120 reviews
“I converted 40+ research interview MP3s in one week. Verbatim mode preserved every disfluency exactly the way my qualitative coding requires. The 51-language detection handled my Spanish and Mandarin participants without me touching a setting. Saved me roughly 18 hours of manual cleanup.”
“Switched from HappyScribe to Musely for podcast show notes. The Formatted Document preset adds clean topic headings to my 60-minute episodes, and exporting as Markdown drops straight into my CMS. Cut my post-production from 90 minutes to under 15.”
“The Speaker-Labeled preset is exactly what I needed for journalism work. Speaker diarization correctly attributed turns across my 4-source interviews. The [MM:SS] timestamps saved me 30 minutes per article during fact-checking. Occasionally merges speakers when two people overlap, but cleanup is fast.”
Frequently Asked Questions
Musely converts MP3 to text at 97.3% accuracy across 51 languages using Seed-ASR 2.0. It includes 4 transcript presets (Clean, Verbatim, Formatted Document, Speaker-Labeled), processes recordings up to 120 minutes, and runs entirely in the browser without account creation or software installation.
Musely offers 4 transcript presets (Clean, Verbatim, Formatted Document, Speaker-Labeled), while Otter.ai focuses on summaries and HappyScribe charges per minute after a small free trial. Musely includes 51-language auto-detection, 120-minute recordings, and exports to TXT, DOCX, and Markdown for free credit users.
The Speaker Labels toggle activates speaker diarization in Musely. Each turn appears on its own line with Speaker 1, Speaker 2 markers, or actual names if mentioned in the audio. The Speaker-Labeled preset formats the entire transcript as a script for interviews and podcasts.
Musely accepts MP3, MP4, WAV, M4A, OGG, WebM, and MOV files up to 120 minutes per recording. Standard MP3 bitrates from 128 kbps to 320 kbps work well. For longer files, the sequential strategy with 2-second chunk overlap preserves context across the full recording.
Clean Transcript removes filler words like uh and um, fixes run-on sentences, and produces polished readable text. Verbatim Transcript keeps every word exactly as spoken with bracketed markers like [pause] and [inaudible], which Musely produces for legal depositions, academic research, and qualitative coding workflows.
The Output Language setting in Musely translates the transcript into 48 target languages including English, Mandarin, Spanish, Japanese, Korean, Arabic, Hindi, French, German, and Portuguese. Set the audio language manually for best accuracy, then pick your translation output before processing.
Musely processes MP3 files in an isolated session environment and removes them after the transcript is delivered. Audio is never used to train AI models, and no MP3 is retained beyond your active session. Sequential chunking with a 2-second overlap runs entirely on secure infrastructure.