The meeting record, minus the seat fees.
Capture decisions, action items, and searchable history from every meeting — choosing between assistant subscriptions and pay-per-use.
可导出 TXT · SRT · VTT · DOCX · PDF
示例输出
这是你能拿到的转录文本——带说话人标签、时间戳,可一键复制或下载多种格式。
Meeting transcription software splits into two architectures. Assistant-style tools (Otter, Fireflies, and peers) join your calls live, transcribe in real time, and charge per seat per month. Upload-style services transcribe the recording afterward and charge for what you process. The live assistants earn their fee when you need in-meeting features; for the much more common requirement — an accurate record after the fact — the subscription is overhead on a task that costs $2 per meeting hour.
The upload workflow uses what your stack already does: every major platform records (Zoom, Teams, Meet), and the recording uploaded after the call comes back as speaker-labeled text in two to three minutes. From there, the team layer is prompts rather than platform features — action-item extraction, executive summaries, decision logs — run with whatever LLM your team already uses, against a transcript you own in plain text.
The economics favor the honest audit: count the meetings that actually needed documentation last month. Teams discover they document five to fifteen meeting hours monthly — $10–30 of pay-per-use — while assistant subscriptions for the same team run $100–300 in seats, most of which attend meetings nobody needed recorded. Match the architecture to your real volume, not your imagined one.
Zoom, Teams, and Meet recordings all upload directly — no bot in the meeting, no calendar integration to configure, nothing for IT to approve.
Speaker diarization labels every voice, so action items have owners and decisions have authors without anyone taking notes.
$2 per meeting hour, only for meetings you upload. No per-seat fees for colleagues who never use the transcripts.
Those tools join meetings live and charge per seat monthly. TranscribeBee transcribes recordings after the fact at $2 per audio hour, pay-per-use. Live captions need the former; meeting records cost far less with the latter.
Yes — upload the recording file from any platform (video or audio) and the audio track is processed. No integration or bot permissions required.
Run the transcript through an LLM prompt — our free AI prompts library includes meeting-summary, action-item, and minutes generators that work with ChatGPT, Claude, or Gemini.
No — files are automatically deleted after processing. Transcripts are yours to download and store under your own retention policy.
$2 per hour. No subscription. Files are auto-deleted after processing.