How do I find where someone said something in our meeting recordings?
Transcribe the recordings with timestamps, index the transcripts in short passages, and search them two ways at once: by exact words for names and numbers, and by meaning for everything else. Each result should point to the meeting and the second the passage starts, so you can jump straight to it. If slides or documents were shared on screen, read the text from those frames too, because the answer is often on a slide nobody read aloud.
Why can't I just search the transcripts?
You can, and it is the right first step, but plain transcript search has three gaps.
What are the options?
| Approach | Finds | Misses | Effort |
| Search inside the meeting tool's transcript | Exact words in one meeting | Paraphrases; anything across many meetings | None if transcription is on |
| Export transcripts and search them together | Exact words across every meeting | Paraphrases and misspelled names | Low |
| Semantic search over timestamped transcript passages | Passages by meaning, across meetings, with the moment | Exact codes and numbers, unless combined with keyword search | Moderate |
| Hybrid search plus text read from shared screens | Meaning, exact terms and what was on the slides | Speech that was never transcribed well | Moderate to high |
How do I find the exact moment in a long meeting?
Index the transcript in short, overlapping passages of a few sentences, each carrying its start time, rather than one document per meeting, so a result takes you to the second the passage starts. Keep the meeting title, date and attendees on every passage so results can be filtered to a project, a customer or a date range before they are ranked.
How do I make transcription good enough to search?
Recording and transcribing meetings has consent and retention rules that vary by country and state, so confirm them before you index calls with people outside your company.
How do I do this with Mixpeek?
Put the recordings in object storage you already use and connect the bucket. The multimodal extractor splits each recording into segments, transcribes the speech, embeds the transcript for search by meaning, and can read the text from shared screens in the frames, with every segment keeping its start and end time. A retriever then answers a question with the meeting and the moment, using keyword and semantic search together and filters on your own metadata such as customer or date. At the published rate of $0.05 per minute of video, indexing 100 hours of recorded meetings costs about $300 in processing.
Related: why podcast search finds the episode but not the moment, why video search misses words that appear on screen, the best video transcription tools and the best speech-to-text APIs.
Frequently Asked Questions
Can I search all our meeting recordings at once?
Yes, once their transcripts are in one index. Most meeting tools search one meeting's transcript at a time, so export the transcripts, or index the recordings directly, and search the combined index with the meeting title and date kept on every passage.
Why doesn't searching the transcript find what I remember being said?
Because exact search matches words, and people rarely remember the exact words. Search by meaning finds passages that express the same idea in different words. Transcription errors on names and numbers are the other common cause, which is why hybrid search helps.
Can I jump to the moment in the recording, not just find the meeting?
Yes, if the transcript is indexed in short passages that keep their start times. The search result then links to the second the passage begins instead of the start of the meeting.
Can I search what was shown on screen during a meeting?
Yes, by reading the text in the video frames with OCR and indexing it alongside the transcript. Slides, shared documents and dashboards often hold the figure people discussed without reading it out.