Free AI Meeting Transcription — Never Take Notes Again

Every hour of meeting time costs you an hour of transcription time — unless you use AI. Kelora transcribes any meeting recording in under 2 minutes with 99% accuracy. Free, unlimited, and available right now.

Transcribe a Meeting Free →

Supported Platforms

🎯 Zoom Recordings

Download your Zoom recording and upload to Kelora. Full transcript in 90 seconds.

💼 Microsoft Teams

Export Teams meeting recordings and transcribe with a single upload.

📹 Google Meet

Transcribe Google Meet sessions from any recording format.

🎙️ In-Person Meetings

Record on your phone and upload for instant transcription.

📻 Phone Calls

Transcribe any recorded phone call, interview, or conference call.

🌍 Multilingual Meetings

Meetings in Arabic, English, French, or mixed languages — all transcribed accurately.

What Professionals Say

"I used to spend 2 hours after every client call writing up notes. Now I upload the recording and have a complete transcript in under 2 minutes."

"Our team saves 10+ hours a week just on meeting documentation."

"The accuracy is incredible — it even handles our team members with strong accents perfectly."

Beyond Basic Transcription

After getting your transcript, paste it into Kelora's Text Intelligence tool to:

→ Generate a meeting summary with action items

→ Extract all decisions made in the meeting

→ Create a follow-up email draft

→ Identify open questions and next steps

Frequently Asked Questions

How long does transcription take?

A 60-minute meeting typically transcribes in 60-90 seconds. Kelora uses OpenAI Whisper which processes audio much faster than real time.

Is my meeting content private?

Audio is processed through OpenAI's Whisper API and is subject to standard data handling practices. We recommend removing sensitive personal information from recordings before transcribing.

What's the maximum file size?

Kelora supports audio files up to 25MB directly. Longer recordings can be split into segments. Most 60-90 minute meetings fall within this limit as compressed audio.