Free tools

FLAC to text

Upload a FLAC file and get a clean, speaker-labelled transcript with timestamps and an AI summary. Great for lossless archives, high-quality field recordings, and studio work.

What this tool does

FLAC is a lossless compression format - typically half the size of the equivalent WAV with zero quality loss. It is what audiophiles, archivists, and journalists tend to store long-term. Drop the .flac into RecordX and you get every word back with speaker turns, timestamps, and an AI summary. No need to expand to WAV first.

The free tier lets you upload files up to 5 minutes long with no signup required to try. Create a free account and you get 60 transcription minutes a month for longer files, exports, and history. Same engine that powers the paid plans.

How it works

  1. Upload the file. Sign up at recordx.io, open the web app, and drag your file into the upload area.
  2. Wait for the transcript. Short files come back in seconds; longer files a few minutes. Speaker separation and the AI summary run automatically.
  3. Download or ask the AI. Read, edit, and export the transcript, copy the summary and action items, or ask questions of the transcript in the built-in editor.

Formats supported

FLAC in any common configuration - mono or stereo, 16 or 24 bit, 44.1 kHz through 96 kHz. Metadata tags (title, artist, album) are preserved but ignored for the transcript itself.

What kinds of FLAC files work

Beyond file uploads

The same RecordX account handles new conversations as they happen:

FAQ

Is FLAC too big to upload?

FLAC is lossless-compressed, so it is roughly half the size of the equivalent WAV. A 90-minute stereo 24-bit FLAC is around 800 MB - uploads fine on any normal connection.

Do I need to convert FLAC to WAV first?

No. Upload FLAC as-is. Converting only adds a decode step and adds no accuracy.

Will speaker separation work on a FLAC field recording?

Yes. Diarization runs on acoustic cues, and lossless input actually helps a little because there are no compression artefacts to work around.

What if my FLAC is a music track with talking over it?

The engine focuses on speech but background music can bleed into the transcript on very loud sections. Best results come from clean voice recordings.

Start transcribing free