Prompts to summarize a transcript: meeting minutes, notes, show notes
Choose what you want from a transcript, add the text if you like, and copy a prompt written for it: meeting minutes, action items, lecture notes, interview themes, show notes or a clean-up. The page builds text only. It does not call any AI service, so you paste the prompt into the assistant you already use.
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What each prompt asks for
- Meeting minutes asks for the topics in order, the decisions and the open questions. The date and attendees are included only if the transcript states them.
- Action items and decisions lists each one with an owner and a deadline only where the transcript gives them, and otherwise says “owner not stated”. That wording is deliberate: an assistant left to fill the gap will often invent a name.
- Lecture notes asks for an outline, the key terms as the speaker defined them and review questions the transcript can answer.
- Interview summary asks for a paragraph and the themes, each with short verbatim quotes and their timestamps when the transcript has them.
- Podcast show notes asks for a description, topics with timestamps and the names or books mentioned, exactly as said.
- Clean up is the odd one out: it asks only for punctuation, capital letters, paragraph breaks and the removal of filler words, and forbids any other change, so the result is still the speaker's words.
Write minutes of this meeting: ...
Keep the answer to about 400 words.
Use headings and bullet points.
Answer in the language of the transcript.
Use only what is in the transcript. Do not add facts, names, numbers or quotes that are not there.
If a passage is unclear or looks like a transcription error, mark it [unclear] instead of guessing.
Transcript:
"""
[your transcript]
"""
Why the guard lines are in the prompts
A language model asked to summarise will, if it can, write something fluent, and a fluent summary can contain a number or a name that nobody said. The two guard lines tell it to stay inside the transcript and to flag what it cannot read. They reduce the problem; they do not remove it. (The clean-up prompt has its own guard, because it must not add anything, not even an [unclear] mark.) The check that matters is yours: compare the summary with the transcript.
Getting a better transcript first
A summary is only as good as the text it starts from. Names and technical terms that the speech recogniser got wrong will be wrong in the summary too. Correct them in the transcript first. If your transcript has a time on every line, you can keep them for the quotes option, or strip them with remove timestamps. To trim “um” and repeated words before summarising, use remove filler words.
What this page does not do
It does not run a model, store your text or send it anywhere, and it makes no promise about what an assistant will answer. It does not know which assistant you use or what it can handle. If you want the transcript itself, start with the audio to text page; the transcript is the part TryScriptorium produces.
Questions
Does this page summarise the transcript for me?
No. It builds the prompt and nothing else. The page makes no call to ChatGPT, Gemini, Claude or any other service, and the text you paste stays in this tab until you copy it yourself. The summary comes from the assistant you paste the prompt into.
Will the summary be accurate?
Not necessarily. Every prompt tells the assistant to use only the transcript, to mark unclear passages instead of guessing and not to invent names, numbers or quotes, which helps but does not guarantee anything. Read the result against the transcript before you send it on, especially names, dates, numbers and decisions.
Is it safe to paste a confidential meeting into an AI assistant?
That depends on the assistant and your account's data settings, not on this page. Check the provider's policy first. If the recording must not leave your organisation, summarise it on infrastructure you control; our private meeting transcription page explains the self-hosted route for the transcript itself.
What if the transcript is too long?
Assistants have a limit on how much text they take at once. The page shows the word count and a rough token estimate (about 1.3 tokens a word, a guess). For a long recording, split the transcript into parts, for example by chapter, run the prompt on each part and ask for a final combined summary.
Related tools
- Transcript Word Counter Words, characters, reading time and speaking time for any text.
- Remove Timestamps Strip 0:05, [00:01:02] and speaker times from a pasted transcript.
- YouTube Chapters Checker Check YouTube chapter timestamps against the rules and tidy the list for your description.
- Remove Filler Words Clean um, uh and repeated words out of an English transcript.
Need the transcript first?
TryScriptorium turns an audio or video file you upload into a transcript with timestamps, then exports TXT, SRT, VTT, Markdown, JSON or CSV. Paste the TXT here to build your prompt. You can try it free.