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Convert FLAC to Text

Convert FLAC audio files to text with AI. Lossless audio transcription with 99 language support. Free online FLAC to text converter.

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Upload Audio or Video

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Supports MP3, WAV, FLAC, OGG, M4A, MP4, WebM, AVI, MOV, MKV. Max 100MB.

file.mp3

0 MB
— or record from your microphone —
00:00

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1,000/min characters — Sign up to track usage

Transcript

Upload an audio or video file and click Transcribe to get started

Transcribing... This may take a moment.

Detected:

How It Works

1. Upload Audio or Video

Upload your audio or video file. We support MP3, WAV, FLAC, OGG, M4A, MP4, WebM, AVI, MOV, and MKV formats up to 100MB.

2. AI Transcribes

Our AI models process your audio, detecting language, identifying speakers, and generating accurate text with timestamps.

3. Get Your Transcript

Copy your transcript or download it as TXT or SRT subtitle format. Edit and refine as needed.

Use Cases

Audio transcription for every industry and workflow

Meetings & Conferences

Automatically transcribe Zoom, Teams, and Google Meet recordings. Never miss an action item again. Export as meeting notes or subtitles.

Interviews & Journalism

Transcribe interviews for articles, research papers, and documentaries. Speaker diarization identifies who said what for easy attribution.

Podcasts & Media

Generate transcripts and show notes for podcast episodes. Create searchable archives of your audio content. Add subtitles to video podcasts.

Lectures & Education

Convert recorded lectures into study notes. Make educational content accessible with accurate captions. Support students with hearing impairments.

YouTube & Social Media

Generate subtitles and closed captions for YouTube videos, TikToks, and social media content. Improve accessibility and SEO with accurate transcripts.

Legal & Medical

Transcribe depositions, hearings, consultations, and dictation. Accurate timestamps for reference. Export in formats suitable for documentation.

Supported Formats

Transcribe any audio or video file — we extract the audio automatically

Audio Formats

MP3 WAV FLAC OGG M4A AAC WMA OPUS

Video Formats

MP4 WebM AVI MOV MKV WMV FLV M4V

Audio is automatically extracted from video files for transcription.

Transcription Models

Whisper

OpenAI's robust speech recognition model supporting 99 languages.

  • 99 languages
  • Translation
  • Timestamps
  • Robust to noise
OpenAI

Faster Whisper

4x faster than Whisper with CTranslate2 optimization, same accuracy.

  • 4x faster
  • Lower memory
  • All model sizes
  • Batch processing
  • VAD filtering
SYSTRAN

SenseVoice

Speech understanding model with emotion detection, 50+ languages.

  • 50+ languages
  • Emotion detection
  • Audio events
  • Speaker analysis
  • Rich metadata
Alibaba (FunAudioLLM)

Frequently Asked Questions

Upload your FLAC file directly — no conversion needed. Our transcriber decodes the Free Lossless Audio Codec stream, sends it to Faster Whisper on a GPU, and returns a timestamped transcript along with optional SRT and VTT subtitle exports.

FLAC is Free Lossless Audio Codec. It is most commonly produced by archival music libraries, high-resolution audio purchases, and professional field recordings.

Marginally. FLAC is lossless, so no codec compression artifacts are added on top of the source recording. Faster Whisper is robust to mild compression though — MP3 and AAC at 128 kbps transcribe within ~1% of WAV/FLAC accuracy on the same source. The real accuracy floor is the original recording quality (mic, room, speaker clarity), not the container format.

FLAC files are typically 5-7 MB/min (lossless compression, ~60% of WAV) so most uploads land well under our 500 MB ceiling. Free accounts can transcribe up to 5 minutes per upload. Paid plans go up to 2 hours. If you are bumping the ceiling on long files, see the audiobook / longform tool which handles multi-hour transcription.

Yes — Faster Whisper supports 99 languages and auto-detects the spoken language in your FLAC file. You can also force a specific source language via the advanced settings if auto-detect picks the wrong one (common with accented English misclassified as the listener mother tongue, or with very short clips).

Yes — the transcript includes segment timestamps and word-level timestamps, exported as SRT or VTT alongside the plain-text version. Pair the SRT with the original FLAC (or a converted MP4) and you have a subtitled clip ready to publish.

Yes. Enable speaker diarization in the advanced settings and our pipeline runs pyannote.audio on top of Whisper to label each speaker. For best results on FLAC, give us at least 30 seconds of audio so the diarizer has enough samples to cluster voice prints. Two-speaker recordings get the most accurate labeling.

No. Our transcriber handles FLAC directly — converting to WAV first would add a re-encoding step (potentially lossy) and waste your time. The one exception is if your FLAC file uses an unusual codec our decoder does not recognize (rare); we will tell you that on upload and you can convert via our free Audio Converter.

Yes, that is the most common upload pattern for FLAC. Faster Whisper handles clean recordings, noisy ones, and accented speech — you do not need to clean up the audio first. If accuracy is not what you expect, run the file through our Audio Enhancer (free for one pass) to remove background noise, then retry transcription.

Transcription is free for files under 5 minutes. Paid plans use ~1,000 characters per minute of FLAC audio. A 60-minute meeting transcribes for 60,000 characters; a 3-minute voice memo is free. FLAC-specific note: if your file is mostly silence (e.g. long pauses in a meeting recording), enable Voice Activity Detection to skip the silence and pay only for the speech sections.

Yes. Uploaded FLAC files are processed on our GPU servers and automatically deleted within 2 days. We never store the audio long-term, train models on user data, or share with third parties. The transcript stays in your account for as long as you want it.

Yes. POST your FLAC file to /api/v1/transcribe/ as multipart form data with the audio file in the `file` field. The response includes the transcript, segment timestamps, optional word-level timestamps, and a job UUID you can poll for SRT/VTT export URLs. Available on all paid plans.
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