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 to try the structured output. For pure text paste (no audio), ChatGPT and Claude work well but require manual copy-paste and don’t preserve timestamps or speaker attribution. VexaScribe integrates transcription and summary in one workflow with structured output (action items, decisions, chapters).

If you’re uploading audio, allow 10–15 minutes for a 60-minute recording to transcribe, then under 30 seconds to generate the summary. If you paste an existing transcript, the AI summary is ready in under 30 seconds regardless of length. A 10,000-word transcript summarizes in the same time as a 1,000-word one.

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 slightly by content type — meeting summaries emphasize action items; lecture summaries emphasize concept hierarchy.

Yes. Export your transcript from Zoom (VTT), Otter (TXT or DOCX), Rev (TXT or DOCX), or any other tool, then paste the text into VexaScribe’s summary tool. The AI processes plain text regardless of source. You don’t need to re-transcribe the audio.

AI summaries correctly capture the main topics and action items in ~90% of cases. Accuracy drops for highly technical content (medical, legal, engineering) and informal meetings where key decisions are implied rather than stated. Always review action items against the full transcript before distributing to stakeholders.

Yes. VexaScribe summarizes transcripts in 100+ 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 the content: 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; you can use the summary as a starting point for formatted minutes in Word or Notion.

Paste your transcript into ChatGPT with a structured prompt like: "Summarize this transcript in 500 words. Include: (1) 3-sentence executive summary, (2) action items with assignees, (3) key decisions, (4) open questions, (5) notable quotes with context." ChatGPT-4 and Claude handle long transcripts (up to ~100k tokens). Limitations: no timestamps, no speaker attribution preserved, free tiers have data-training opt-out you must enable manually for sensitive content, and you have to copy-paste each time. For repeated use, a purpose-built tool that ingests transcript files directly saves friction.

Depends on your tier and the transcript content. OpenAI's API and ChatGPT Enterprise don't train on your data by default. ChatGPT Free and Plus train on conversations unless you opt out (Settings → Data Controls → turn off "Improve the model for everyone"). For genuinely sensitive content (legal, medical, HR, board meetings, pastoral counseling): either redact identifiers before pasting, use an enterprise tier with documented data residency, or use a privacy-focused tool. VexaScribe doesn't use customer transcripts to train models and supports file deletion at any time. For maximum privacy, Whisper installed locally never sends data anywhere.

The conventional sweet spot is 5–10% of the original transcript length. For a 60-minute meeting (~10,000-word transcript), that's a 500–1,000-word structured summary. Different use cases need different lengths: executive briefing (3-5 sentences, ~50 words), action-items-only list (~150 words), full structured summary (500-1,000 words with chapters), podcast show notes (1,500-2,000 words). Too-short summaries lose context; too-long summaries defeat the purpose of summarizing. Start with 500 words for a 1-hour transcript and adjust based on what your readers need.

Yes. Export from Zoom (VTT or TXT), Otter (TXT or DOCX), Microsoft Teams (DOCX), Rev (TXT or DOCX), Notta (TXT), or any other transcription tool. Paste the text into VexaScribe's summary tool or upload the file directly. The AI processes plain text regardless of source format. You don't need to re-transcribe the audio. If your transcript has speaker labels (e.g., "Speaker 1:", "John:"), they're preserved in the summary for attribution.