Validate
Markovo checks extension, MIME, media signature, account access, file size, and the confirmed Credit ceiling.
Audio to Markdown Converter
Your audio files. Ready to work.
Spoken words, ready to read and revisit.
Delivery ready
Your Markdown is ready
Verified output links appear here after conversion.
Optional: download audit files for verification or troubleshooting.
Delivery ready
Your link, in Markdown
Conversion details & limits
Audio to Markdown Converter with Reviewable Timestamps.
Upload a meeting, interview, lecture, voice note, or podcast clip. This audio transcription to Markdown workflow keeps timestamps beside the words and reports quality boundaries. Download the result as Markdown (.md).
MP3, WAV, M4A, AAC, FLAC, OGG, OPUS, and WMA are supported up to 50 MB and 60 minutes. Credit v2 follows actual decoded audio milliseconds at 0.5 Credits per minute with a 0.3 Credit minimum.
01 / How it works
Readable transcript, traceable timing.
The bundle records detected language, duration, time-coded segments, quality evidence, and the actual Credits settled. Timing is checked against the decoded source.
Transcribe
Speech becomes ordered segments with stable timestamps. Temporary processing failures fail safely and release reserved Credits.
Review
Download output.md or the full bundle with metadata, source map, quality report, manifest, and ZIP.
02 / What you get
A transcription tool with explicit boundaries.
audio-to-markdown
Browser, API, CLI, and MCP share one account, Credits balance, History, and bundle.
Clear speech
Low noise, audible voices, and a consistent recording level produce the safest result.
Actual decoded audio milliseconds
Credit v2 bills 0.5 Credits per decoded audio minute with a 0.3 Credit minimum and never exceeds the confirmed ceiling. Failed jobs cost 0.
Names, overlap, and bounded processing
Proper nouns, accents, music, crosstalk, and speaker diarization can need review. Audio may be processed by Cloudflare Workers AI under the standard retention and deletion policy.
03 / Source details
Use the same transcript capability from code or an agent.
API
Confirm a ceiling
curl -X POST https://markovo.net/v1/convert \
-H "Authorization: Bearer ${MARKOVO_API_KEY}" \
-F "file=@meeting.mp3" \
-F "capability_id=audio-to-markdown" \
-F "max_credits=60"CLI
Download the bundle
markovo convert meeting.mp3 \
--out runs/meeting \
--max-credits 60MCP
Bound agent work
markovo_convert({
"input_path": "meeting.mp3",
"max_credits": 60
})04 / Connect your tools
Review output from the Audio to Markdown Converter.
Time-coded Markdown helps a reviewer return to the recording, but transcription remains sensitive to sound quality and speech context.
Prefer audible, consistent speech
Low noise, close microphones, and limited overlap produce safer results. Accents, music, crosstalk, proper nouns, abbreviations, and weak recordings may require correction.
Use timestamps as navigation
Segment timing supports review and citation; it is not speaker diarization. Markovo does not promise to identify who spoke each line.
Verify consequential details
Compare names, numbers, dates, commitments, and technical terms with the original audio before publishing or using the transcript as evidence.
05 / Ways to use your Markdown
Use transcripts with the recording available.
For interviews, meetings, research, legal, medical, financial, or public statements, verify important wording and retain the original audio under the applicable consent and retention rules.
Audio to Markdown: what converts cleanly, what needs review.
Recordings go through a speech-recognition route, then the transcript is structured into readable Markdown — the risky parts are audio quality and overlapping speakers.
includedSpeech → structured transcript
Speech is transcribed into a readable Markdown document — a reviewable transcript, not an AI summary of what was said.
includedTimestamps
Reviewable timestamps are kept with the transcript, so the Markdown can be traced back to the recording.
reviewBackground noise & music
Sections where the signal-to-noise ratio drops are where transcripts degrade — spot-check noisy segments.
reviewOverlapping speakers
Crosstalk is the hardest speech case — compare multi-speaker passages against the audio.
Format references: CommonMark. Video files? Video to Markdown transcribes the soundtrack.
Audio to MD questions
What is a Audio to MD converter?
Audio to MD transcribes speech into a Markdown (.md) document with reviewable timestamps. It preserves a transcript rather than generating an AI summary.
