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MP3toText

Freemium

Summary

Replaying a 45-minute interview three times to find one quote is how hours disappear — MP3toText.ai exists to stop that loop.

The tool handles upload-and-transcribe in three steps: drop a file or paste a link, wait for the transcript, then edit and export. Speaker labels separate voices automatically, which matters when you're working with multi-participant interviews or panel recordings. The 99-language support covers most international audio without preprocessing. Where the wall appears: accuracy degrades on recordings with background noise, heavy accents, or overlapping speakers, and the free tier is credit-gated, so high-volume users hit limits fast. Teams processing hundreds of hours a month will need to evaluate whether the credit model scales to their workload.

Bottom line: Pick this for occasional transcription of clean audio — interviews, lectures, solo podcasts — and plan a different architecture when you need API-level automation or are processing noisy field recordings at volume.

Pricing Plans

Subscription
Free Tier
3 files per day (first 10 min each) without account; 30 free credits with account

Free

Free

30 free credits on signup; 3 files per day limit without account

  • 3 files/day
  • First 10 minutes per file
  • 98 languages

Standard

$10per month
$120/yr

2000 credits per month

  • 2000 minutes/month
  • Text summary
  • All export formats

Pro

$20per month
$240/yr

6000 credits per month

  • 6000 minutes/month
  • Text summary
  • All export formats

View full pricing on mp3totext.ai →

Pricing may have changed since last verified. Check the official site for current plans.

Community Performance Report Card

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Best For: Users needing occasional to high-volume transcription, Teams requiring exportable transcripts with timestamps, Multilingual audio projects

Community Benchmarks Community

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  • Accepts audio and video in over 20 formats, so you avoid preprocessing or conversion steps before upload.
  • Automatic speaker detection labels voices in multi-participant recordings, which means journalists and researchers can attribute quotes without manually re-listening to identify who said what.
  • 99-language support covers international audio projects without requiring separate tools or manual language configuration.
  • AI-generated summaries and mind maps let you extract key points from long recordings without reading the full transcript — useful when you need to triage content quickly.
  • Entirely browser-based with no install required, so teams can use it without IT approval or local software dependencies.
  • Accuracy drops on recordings with background noise, multiple overlapping speakers, or strong accents — the vendor's FAQ acknowledges this directly. Teams working with field interviews or conference room audio captured on a single mic will need to manually correct a higher percentage of the output, which erodes the time savings.
  • The free tier is credit-gated, and high-volume users — think a podcast team processing multiple hours per week — hit the ceiling and face a recurring cost calculation. Teams doing batch transcription at scale will find per-credit pricing less predictable than a flat-rate service and often migrate to an API-based provider like AssemblyAI or Whisper-backed tooling where they control throughput and cost directly.
  • No API access is described in the scraped page content, which means the tool cannot be embedded in automated workflows. Teams that need transcription as one step in a larger pipeline — auto-generating show notes, syncing to a CMS, or feeding a search index — cannot integrate this service without manual intervention at each run.

Community Reviews

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About

Platforms
Web browser
API Available
No
Self-Hosted
No
Last Updated
2026-07-03T03:18:24.565Z

Best For

Who it's for

  • Users needing occasional to high-volume transcription
  • Teams requiring exportable transcripts with timestamps
  • Multilingual audio projects

What it does well

  • Transcribing interviews and meetings
  • Converting podcasts to searchable text
  • Generating subtitles for videos
  • Creating notes from lectures or recordings

Discussion Community

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Community Notes & Tips Community

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Frequently Asked Questions

Is MP3toText free?
MP3toText has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
Is MP3toText open source?
No — MP3toText is a closed-source tool. Source code is not publicly available.
What platforms does MP3toText support?
MP3toText is available on: Web browser.

Hours Saved & ROI Stories Community

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MP3toText

MP3toText.ai converts audio and video files to text through a browser-based upload interface — no installation, no account required to start. The core workflow is three steps: upload a file or paste a link, trigger transcription, then review and export. The service accepts a wide range of audio formats (MP3, WAV, FLAC, OGG, OPUS, M4A, and others) and video formats (MP4, MOV, MKV, WebM, and others), and the vendor states transcription completes in minutes.

The differentiating feature beyond basic speech-to-text is automatic speaker detection, which labels different voices in the transcript rather than producing an undifferentiated wall of text. That matters in interview and meeting contexts where you need to attribute quotes or follow conversational turns. The service also generates AI summaries and visual mind maps from transcripts — useful when you need a quick read on a long recording without working through the full text.

The tool fits individuals and small teams doing occasional to moderate transcription: journalists pulling quotes, researchers reviewing recorded interviews, video creators generating subtitle source text, or podcasters converting episodes to show notes. The free tier uses a credit system, and the docs describe paid tiers for higher usage limits — so the ceiling on free usage is real. Teams needing bulk throughput, API-level integration into production pipelines, or reliable transcription of noisy field recordings will encounter friction that the browser interface cannot resolve.