Transcript to Summary — Turn Any Transcript Into a Structured Summary

VexaScribe gives you 30 free minutes on signup — enough to summarize 3–4 typical meetings and see the structured output format. For pure text paste without audio, ChatGPT and Claude work but require manual copy-paste and don't preserve timestamps or speaker attribution. VexaScribe handles both audio upload and transcript paste in one workflow.

If you paste an existing transcript, the AI summary is ready in under 30 seconds regardless of length — a 10,000-word meeting transcript summarizes in the same time as a 1,000-word one. If you upload audio first, allow 5–10 minutes per hour of recording to transcribe, then under 30 seconds to generate the summary.

A VexaScribe summary includes: a 2–3 sentence overview, 5–10 key points with timestamps, action items with owner and deadline fields, chapter markers dividing the content into sections, and notable quotes. The structure adapts by content type — meeting summaries emphasize action items and decisions; lecture summaries emphasize concept hierarchy.

Yes. Upload your meeting recording directly (Zoom, Teams, Google Meet exports all work), or paste a transcript you already have. VexaScribe generates structured meeting summaries with action items (task, assignee, deadline), decision log, blockers, and open questions — ready to copy into Notion, Confluence, or email.

Yes. Export your transcript from Zoom (VTT or TXT), Otter (TXT or DOCX), Rev (TXT or DOCX), Microsoft Teams (DOCX), or any other tool, then paste the text into VexaScribe's summary tool or upload the file directly. The AI processes plain text regardless of source format. If your transcript has speaker labels (e.g. "John:", "Speaker 1:"), they're preserved in the summary output.

Yes. Upload audio directly (MP3, WAV, M4A, FLAC — up to 5 GB) and VexaScribe transcribes and summarizes in a single step. You get both the full transcript and the structured summary. This is the faster path if you don't already have a transcript.

AI summaries correctly identify the main topics and action items in around 90% of cases on clear, well-structured conversations. Accuracy drops for technical content (medical, legal, engineering jargon) and informal meetings where decisions are implied rather than stated. Always review action items against the full transcript before distributing to stakeholders.

ChatGPT works well for transcripts under ~8,000 words (roughly 1 hour of meeting audio). For longer transcripts, context limits apply (GPT-3.5: ~12k words; GPT-4o: ~96k words). VexaScribe advantages: timestamps are preserved in the output, speaker attribution survives the summarization step, audio upload is integrated (no separate transcription step), and customer transcripts are not used for model training. Disadvantage: ChatGPT is more flexible for custom summary formats.

Yes. VexaScribe summarizes transcripts in 99 languages. Upload audio in any supported language and get both the transcript and summary in that language. Cross-language summarization (e.g., French audio → English summary) is not currently supported — the output language matches the input language.

A summary is a narrative condensation of what was discussed and what matters. Meeting minutes are a formal record: who attended, what was decided, what actions were assigned, and what was tabled. VexaScribe generates AI summaries with structured action items — you can use that output as the starting point for formatted minutes in Word or Notion.

VexaScribe doesn't use customer transcripts to train models and supports permanent file deletion at any time. For ChatGPT: Free and Plus plans train on conversations unless you opt out in Settings → Data Controls. For genuinely sensitive content (legal, medical, HR, board meetings), either redact identifiers before pasting, use an enterprise tier with documented data residency, or use a locally-installed option like Whisper which never sends data anywhere.