Can Claude Transcribe Audio? Inputs and Workarounds

Claude does not transcribe audio files directly. In claude.ai and the Claude API's standard interface, you cannot upload an MP3 or WAV file and receive a transcript back. If you need to transcribe a recording, you will need a separate tool for that step.

What Claude does well is working with a transcript once you have one — analyzing it, extracting action items, rewriting sections, or answering questions about what was said. Tools like fenbs store the recording source alongside the verified transcript and any follow-up tasks in the same project, so the context stays together across sessions.

What audio inputs Claude currently supports

Anthropic documents the file types Claude accepts in their official documentation. As of the last check, Claude's web interface and API do not support audio file uploads. Check docs.anthropic.com↗ (opens in a new tab) for the current list of supported file types, as Anthropic updates Claude's capabilities regularly.

Claude Code, Anthropic's agentic coding tool, works with files in a project context and reads AGENTS.md natively. It focuses on code and text files, not audio. There is no built-in microphone or audio recording feature in any standard Claude interface.

Some third-party tools that integrate Claude may add their own audio layer — transcribing audio with another model and passing the text to Claude for analysis. That capability comes from the third-party tool, not from Claude itself.

The standard workaround: transcribe first, then paste

The reliable approach is a two-step process: transcribe the audio with a dedicated tool, then bring the transcript to Claude for analysis.

1. Record or export the audio file in a common format (MP3, WAV, M4A).
2. Transcribe it using a dedicated service — the Whisper model via API or a tool built on it, a dedicated service like Otter.ai, or your meeting platform's built-in transcription.
3. Review the transcript for errors, especially names, numbers, and domain vocabulary.
4. Paste the verified transcript into Claude and ask it to summarize, extract action items, draft a follow-up, or answer specific questions about what was said.

This two-step approach often produces better results than a single-tool solution because you can correct the transcript before asking Claude to reason about it. A transcript error passed to Claude becomes an analysis error.

For a guide on choosing an AI transcription tool for step one, see how to use AI to transcribe audio. For how ChatGPT handles direct audio uploads, that comparison is covered there.

What Claude does well with a text transcript

Claude handles long documents and complex instructions well. With a meeting transcript, you can ask it to summarize key decisions, list open questions with who owns each one, rewrite messy or incomplete sentences in clear prose, draft a follow-up email, or compare this meeting's conclusions against a previous one you also paste in.

Claude can hold a long transcript in its context window — the amount of text it can work with at once — which means it can answer questions about a multi-hour meeting without losing track of what was said earlier. Check Anthropic's documentation for current context window sizes by model.

This analysis approach works well for user research interviews, legal depositions, and focus groups where the same themes recur across multiple speakers. Paste in several interview transcripts and ask Claude to identify patterns across them without reading each one yourself from start to finish.

Give Claude context alongside the transcript: who the speaker is, what the recording was for, and what specific question you need it to help answer. A targeted question produces a more useful answer than "summarize this." Ask it to focus on a particular section, extract commitments made by a named person, or find every mention of a specific topic.

When Claude is a good fit for audio-related work

Claude is a good fit when your audio has already been transcribed and you want careful, detailed analysis. It handles nuance well — distinguishing what someone proposed from what was agreed, identifying where a discussion went off-topic, or finding patterns across multiple transcripts pasted in sequence.

Claude Code, used in a project context with fenbs connected via MCP, can work with notes and decision records that were saved by a person or another tool. Some teams use this for tracking technical decisions alongside their code. The combination works because Claude Code reads text files natively, and a saved transcript is just a text file.

For technical setups using the Claude API directly, the Claude API guide covers the configuration. For a broader overview of what Claude can do, what is Claude AI is the right starting point.

How to do this with fenbs

1. Create a free account and open a project for the work this recording belongs to.
2. Add a task for the transcript review, with the recording link in the task notes.
3. After using Claude to analyze the transcript, paste the key decisions into Decisions and rules.
4. Add any follow-up tasks Claude identified to the board as separate tasks.
5. Connect Claude to fenbs from Integrations so it reads the project context at the start of the next session.