AI meeting transcription

Transcribe meetings to text.
Every voice in the right place.

Upload the recording from Zoom, Google Meet, Teams, or any other platform. Get the text with each speaker labeled — ready to summarize.

Transcribe meeting now — 10 minutes free →

No credit card · $0.10/min · MP4, MP3, M4A, WAV

💼 product-meeting.mp4 · 47 min · Completed
Anna
For the next iteration, I'd suggest focusing on the three features users requested most in support.
Carlos
Sounds good. Do we have data on which features those are?
Marina
I can pull the report and share before the end of the day.
✓ AI-reviewed
3 speakers identified

Recorded meetings hold most of the decisions, action items, and discussion context for a team — but watching them again takes the same time as attending. Transcribing the meeting to text changes that: the content becomes scannable, searchable, and easy to share. LineaType handles recordings from Zoom, Google Meet, Microsoft Teams, and any other platform that exports MP4, MP3, or M4A.

The differentiator for meetings is automatic speaker identification: when the recording captures multiple people, the engine separates each voice and labels each line — without you needing to indicate who's talking. The reviewed text becomes the basis for meeting minutes, action items, follow-ups, or simply a searchable archive of decisions.

Zoom, Meet, Teams
all platforms supported
3+
speakers identified automatically
$3.00
cost for a 30-min meeting

How it works

Three steps. From the recording to the meeting summary.

1

Export the meeting recording

Zoom, Google Meet, Teams: every platform allows saving the call as MP4 or MP3. Export to your computer, then upload to LineaType.

2

Transcription + speaker identification

The AI transcribes and automatically separates the lines by speaker. The review layer fixes punctuation and removes filler.

3

Export to share or summarize

TXT, DOCX, or PDF. Send to participants, use as the basis for minutes, or feed into an AI tool to generate a summary.

Accepted formats:
.mp4
.mp3
.m4a
.wav
.mov
.webm

Built for real meetings

What makes the result more useful than basic transcription.

👥

Multiple speaker identification

Detects 2, 3, 4 or more distinct voices. Each line gets its speaker label automatically — rename to the real names on the platform.

Automatic AI review

Punctuation, paragraph breaks, and filler removed. The text arrives ready to be edited into minutes or action items.

📚

Internal vocabulary

Save the recurring terms from your team — internal project names, technical acronyms, client names. The AI applies them across every meeting.

🔒

Files discarded after processing

The original recording is processed and discarded immediately. Only the generated text stays in your history.

Frequently asked questions

No direct integration today — you export the recording from the platform (Zoom, Meet, Teams) and upload to LineaType. The advantage of this flow is total control: only the recordings you choose get sent for transcription.
Yes. It detects 2, 3, 4 or more distinct voices and labels each line. Initial labels are generic ("Speaker 1", "Speaker 2"); you can rename them on the platform to the real names.
Yes, but accuracy drops when multiple people speak at the same time. For higher quality, prefer recordings where each participant has their own audio track (some platforms separate by speaker on export).
No problem. MP4 (and other video formats: MOV, MKV) are accepted directly. LineaType extracts the audio internally before transcribing.
Up to 150 MB per file. For reference: a 1-hour MP3 at 128 kbps weighs about 55 MB. For longer meetings, export as MP3 (smaller) or split into parts.
The recording file is processed and discarded immediately after transcription is complete. Only the generated text stays in your history. You can delete the text from history at any time.

Transcribe your next meeting now.
10 free minutes, no credit card.

Upload the recording and get the text with each speaker labeled.

Transcribe meeting now →

MP4, MP3, M4A · $0.10/min after free credits