Bulk Transcribe Audio to Markdown Online Free

Just save the .md file to your vault folder. Obsidian auto-indexes new files, so your transcript becomes instantly searchable.

Add YAML frontmatter (tags, date, source) for better organization.

The transcript integrates seamlessly with your existing notes.

Markdown works natively with PKM apps (Obsidian, Notion, Logseq, Roam).

It supports headers, links, and formatting that plain text doesn't.

Most importantly, Markdown syncs via any cloud service, renders beautifully in these apps, and future-proofs your notes.

Popular apps with native Markdown support:

• Obsidian, Notion, Roam Research, Logseq
• Bear, Craft, Typora, iA Writer
• GitHub, GitLab, and documentation tools

It's the lingua franca of knowledge management.

The generated file includes an AI-formatted title as an H1 heading.

For Obsidian workflows, add YAML frontmatter (---) at the top with tags, date, or custom metadata.

The transcript body uses clean paragraphs — ready to link to your other notes.

• Markdown — PKM apps, developer tools, GitHub
• Word — Editing, collaboration, Track Changes
• EPUB — E-readers for offline reading

Want to read on Kindle or Kobo? Try Audio to EPUB →

Two OpenAI Whisper models — choose speed or accuracy:

Fast is the default — great for clear audio, podcasts, and lectures.

Quality uses the full 1.55B-parameter model. Independent benchmarks show ~10% WER for Quality vs ~12% for Fast (Artificial Analysis). Choose Quality for accented speech, noisy recordings, or technical content.

Both models support 99+ languages. Switch in the options panel above.

Sources: Groq docs, Artificial Analysis benchmark, Hugging Face model cards.

Yes — Meeting Intelligence adds speaker labels to your Markdown transcript, making it easy to track who said what in your knowledge base.

When enabled, speaker attribution appears inline with the text:

# Meeting: Q4 Planning

**John:** Let's review the quarterly goals.

**Sarah:** Revenue is up 15% but we need to address churn.

This is perfect for Obsidian, Notion, or Logseq workflows where you want to:

• Link speaker names to their profile notes
• Search for everything a specific person said
• Track decisions back to who proposed them

Our AI post-processing attempts to identify speakers by name when they're introduced or addressed in the audio. Important: Name detection isn't perfect — it works best when speakers introduce themselves ("Hi, I'm John...") or are called by name. If names aren't detected, you'll see generic labels like "Speaker 1" and "Speaker 2" which you can easily edit in your notes app.

Meeting Intelligence costs extra credits and is ideal for meeting notes, interviews, and any content where speaker attribution matters in your PKM system.