MP3 to Text
Browser-based MP3 to text transcription that turns audio and video up to 10 hours into editable transcripts in 90+ languages.
For recorded-file transcription on a tight budget, MP3 to Text is easy to justify: 5 GB and 10-hour files, 90+ languages and speaker labels starting at $5/month annual. The scope is deliberately narrow and it doesn't pretend otherwise. Pick it for podcast archives and interview libraries; go to Otter.ai if you need live meeting captioning.
Verified 48m ago · liveness 55/100 · cite: rightaichoice.com/tools/mp3-to-text
- Podcasters converting episode audio into show notes and YouTube captions
- Researchers and academics transcribing long interviews for qualitative coding
- Journalists pulling accurate quotes from recorded interviews and press conferences
- Educators and trainers making classroom recordings accessible with captions
- Anyone needing live or real-time transcription for meetings, events or captioning
- Developers wanting an API to plug transcription into an automated workflow
- Teams wanting shared folders, comments or multi-user collaborative editing
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Skip MP3 to Text if you need live meeting transcription, an API to automate transcription inside another product, or month-to-month billing — this is a cloud-only batch uploader sold on annual plans.
Paid plans bill annually upfront — $60, $120 or $240 depending on tier — so a small test commitment turns into a full year's spend.
Cheapest useful tier is Basic Annual at $5/month ($60/year) for 5 hours/month — good for a solo podcaster or student. Pro at $10/month ($120/year) doubles to 20 hours/month for a working journalist or researcher. Ultimate at $20/month ($240/year) gives 50 hours/month. Against Otter.ai and Rev, MP3 to Text undercuts most per-minute rates and is more generous on file size, but it lacks live captioning and meeting-bot workflows those tools include.
In short
MP3 to Text — Browser-based MP3 to text transcription that turns audio and video up to 10 hours into editable transcripts in 90+ languages. Best for Podcasters converting episode audio into show notes and YouTube captions, Researchers and academics transcribing long interviews for qualitative coding, Journalists pulling accurate quotes from recorded interviews and press conferences. Free to start; paid plans from $5/mo.
Viability Score
How well maintained and how widely used is MP3 to Text? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Transcribe MP3, WAV, M4A, FLAC, AAC, OGG, OPUS, WEBM, AMR, WMA audio
- Transcribe video files: MP4, MOV, AVI, MKV
- Automatic speaker identification and labelling in multi-speaker recordings
- Batch processing with each transcript returned as it finishes
- Export transcripts to TXT, DOCX, SRT, VTT, Markdown, CSV and PDF
- Optional timestamps and speaker labels on exports
- AI summary generation for key takeaways
- Transcribe in 90+ languages including English, Spanish, French, German, Japanese, Korean
- Handles accents and background noise
- Files up to 5 GB and 10 hours each
- No daily file limit on transcription
- Transcribe short audio without creating an account
- 60-minute free transcription trial after signup
- Unlimited storage on paid plans
- Priority email support on paid plans
About MP3 to Text
MP3 to Text is a browser-based AI transcription tool that converts recorded audio and video into editable text without a download or plugin. Drop in an MP3, WAV, M4A, FLAC, AAC, OGG, OPUS, WEBM, AMR or WMA file — or a video container like MP4, MOV, AVI or MKV — and it returns a transcript in minutes, so you can feed it a podcast episode, research interview, lecture capture or meeting recording without converting formats first. The people who get the most out of it work from recordings: podcasters turning episodes into show notes and subtitles, researchers coding long interviews, journalists pulling quotes, educators captioning class material and students making searchable lecture notes. Multi-speaker recognition labels who said what in panels and interviews, an AI summary condenses a transcript into key takeaways, and batch processing lets you queue multiple files with each transcript returned as it finishes. Files can run up to 5 GB and 10 hours each, there's no daily file cap, and exports cover TXT, DOCX, SRT, VTT, Markdown, CSV and PDF with optional timestamps and speaker labels for subtitle or citation work. Short clips transcribe without an account, and signing up unlocks a 60-minute free trial. Paid annual plans are billed yearly at $5, $10 and $20 per month. Against Otter.ai or Rev it undercuts most per-minute rates and is more generous on file size. What it doesn't do is live captioning or meeting-bot capture — this is an async batch transcriber, not a real-time assistant.
Behind the Verdict
Here's the honest framing: MP3 to Text is a single-purpose tool, and that's mostly a feature. It takes a file, gives you back text in minutes, and gets out of the way. No meeting bot joins your Zoom call, no dashboard full of collaboration features you'll never open. We'd reach for it when the work is archival. Podcast back catalogs, research interview sets, lecture recordings, a folder of press-conference audio — the batch uploader plus a 5 GB ceiling and no daily file limit handles exactly that kind of grind. The free 60-minute trial after signup is enough to test accuracy on your own noisy audio before paying. The $5/month Basic Annual tier is the right starting point, but read the meter: it covers 5 hours of transcription per month. Twenty hours costs $10/month (Pro Annual), fifty costs $20/month (Ultimate Annual). If you're transcribing a weekly podcast plus client calls, Basic will run out fast — the jump to Pro is the more realistic landing spot. Where it bites: every tier lists the same feature set, so you're buying volume, not capabilities. If your transcripts feed a live product — auto-captioned webinars, a rep who needs text mid-meeting — this isn't the tool. And teams that want shared folders, comments or collaborative editing are in the wrong place entirely. Against Otter.ai, the pitch is price and file size, not features. Otter wins on live meeting capture and team workflows; MP3 to Text wins on how cheaply it chews through long recordings. Compare per-minute rates before you commit either way. The lack of a published API matters if you're building a pipeline. For manual or semi-manual transcription — upload, export, paste into your CMS or coding software — it's a clean, low-friction choice. Just budget by hours, not by unlimited-use expectations.
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Real-world workflow fit
Concrete scenarios for the personas MP3 to Text actually fits — and what changes day-one when you adopt it.
Uploads a 90-minute episode MP3 to the batch queue on Monday, lets it transcribe, applies AI summary for show notes and exports SRT with speaker labels for YouTube captions.
Outcome: Show notes and captions ready the same day instead of a manual re-listen, with speaker labels intact for guest interviews.
Drops a batch of recorded interview files into one upload, waits for each transcript to return, then exports TXT with timestamps for qualitative coding software.
Outcome: A whole interview backlog transcribed in one pass, with speaker labels preserved for attribution and citation.
Uploads a press-conference recording, skims the AI summary for the news line, then pulls exact quotes from the timestamped transcript and exports to DOCX.
Outcome: Accurate quotes published before the cycle moves on, with timestamps to verify against the original audio.
Use Cases
- Transcribe podcast episodes into show notes, SEO articles and chapter timestamps.
- Turn lecture recordings into searchable notes for exam prep.
- Generate subtitles by exporting SRT or VTT files for video editing.
- Transcribe interviews and press conferences for accurate quotes.
- Create meeting transcripts to extract action items and decisions.
- Digitize audio archives for research and qualitative analysis.
Limitations
- Cloud-only browser tool with no mobile or desktop app.
- Paid plans are billed annually (Basic, Pro, Ultimate), and each file is capped at 10 hours / 5 GB.
- The site publishes no API or developer documentation, so automated pipelines are not an evidenced supported path.
as of 2026-09-22
Verification history
We have re-verified MP3 to Text 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published MP3 to Text tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Anyone testing accuracy on their own audio — students or a curious podcaster with occasional short clips.
What this tier adds
Starting free entry point: 60 minutes after signup, plus short no-signup clips, but free transcriptions have per-task length limits.
Basic Annual
$5/mo ($60/year, billed yearly)
Ideal for
Solo podcaster or student with a light monthly load — one or two episodes or a few lectures a month.
What this tier adds
Unlocks 5 hours/month, full 10-hour / 5 GB files, batch transcription and priority email support over the free tier.
Pro Annual
$10/mo ($120/year, billed yearly)
Ideal for
Working journalist or researcher running regular interviews who needs volume without jumping to the top tier.
What this tier adds
Raises the monthly allowance four-fold to 20 hours of audio or video versus Basic's 5.
Ultimate Annual
$20/mo ($240/year, billed yearly)
Ideal for
High-volume podcaster, research lab or production team running a large audio or video archive.
What this tier adds
Highest tier: 50 hours/month, roughly two-and-a-half times Pro's allowance, same 10-hour / 5 GB per-file ceiling.
Where the pricing makes sense
The company stage and team size where MP3 to Text's pricing actually pencils out — and where peers do it cheaper.
Cheapest useful tier is Basic Annual at $5/month ($60/year) for 5 hours/month — good for a solo podcaster or student. Pro at $10/month ($120/year) doubles to 20 hours/month for a working journalist or researcher. Ultimate at $20/month ($240/year) gives 50 hours/month. Against Otter.ai and Rev, MP3 to Text undercuts most per-minute rates and is more generous on file size, but it lacks live captioning and meeting-bot workflows those tools include.
Setup time & first value
How long it actually takes to get something useful out of MP3 to Text — broken out by persona, not the marketing-page minute.
Individual podcaster, student or journalist: a few minutes — drop a file on the homepage and short clips transcribe without an account. Paid batch workflow: roughly 10-15 minutes once, to create an account and run a first multi-file batch. Researcher with an interview backlog: similar, then transcription time is the real wait.
Switching to or from MP3 to Text
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual dictation or re-listening: upload existing recordings in a batch rather than typing notes live.
- →From Otter.ai: export your recordings from Otter and re-upload to MP3 to Text to get the higher 5 GB / 10-hour file ceiling.
- →From a desktop transcription app: upload the source audio files to the web tool, since there's no local install.
- ↗To Otter.ai: move here if you need live meeting transcription and team collaboration, and export your transcripts as TXT or DOCX first.
- ↗To Rev or a human transcription service: use the SRT/TXT exports as your source files for higher-accuracy human passes.
- ↗To a developer API: there's no supported export pipeline, so re-run your source audio through the new API rather than reusing transcripts.
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “MP3 to Text”, and we withheld 5: 5 did not mention MP3 to Text. Showing the 1 we can prove is about MP3 to Text.
Official links
Tools that pair well with MP3 to Text
Common stack mates teams adopt alongside MP3 to Text, with the specific reason each pairing earns its keep.
Whisper Scribe AI
Browser-based transcription of audio and video into speaker-labeled text in 134+ languages.
Translate.Video
Browser-based AI video translation, dubbing, and subtitling that turns one recording into versions in up to 81 languages per process.
Video Transcriber AI
Browser-based video and audio transcription with AI notes, subtitles, and dubbing — no account needed for the free tier.
Featured Head-to-Head Comparisons
Mp3 To Text vs Retell Ai
Choose MP3 to Text if you need accurate, batch transcription of audio files into text with multi-language support. Choose Retell AI if you need a real-time voice agent platform for automating phone calls with low latency and rich integrations. They solve different problems and are not direct competitors.
Mp3 To Text vs Soniox
Pick Soniox if you need real-time multilingual speech AI with API integrations for building voice agents or live translation. Choose MP3 to Text for a simple, budget-friendly batch transcription tool for podcasts or lectures — it's free to start and supports 90+ languages but lacks real-time, API, or enterprise compliance.
Mp3 To Text vs Voiceitt
If you have non-standard speech (due to disability or accent) and need real-time dictation or meeting captions, Voiceitt is the only choice that works. For batch transcribing recorded MP3 files with high accuracy and many languages, MP3 to Text is simpler and cheaper. They serve opposite use cases, so pick based on your speech pattern and whether you need live vs. file-based transcription.
Alternatives to MP3 to Text
View all
Whisper Scribe AI
Browser-based transcription of audio and video into speaker-labeled text in 134+ languages.
Translate.Video
Browser-based AI video translation, dubbing, and subtitling that turns one recording into versions in up to 81 languages per process.
Video Transcriber AI
Browser-based video and audio transcription with AI notes, subtitles, and dubbing — no account needed for the free tier.
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