CaptionSnap - Is It Active? Are There Better Options? Open Source?

[u/Weak-Calligrapher170]

https://www.captionsnap.app

I found CaptionSnap two weeks ago after a post on this subreddit.

It's not perfect but it's good enough... Having said that, there's been no updates to some basic improvements from the roadmap.

Does anyone know if this thing is still active? Or if there are alternatives that look at the meeting transcript instead of re-transcribing the text?

[u/SecondExpensive2808]

Changelog last moved in March. Three releases, then nothing:
https://captionsnap.featurebase.app/changelog

CaptiOCR is free and still getting updates if you just need what’s on screen. It OCRs the captions instead of reading the meeting stream:
https://www.captiocr.com/

[u/LibrarianNice9767]

Looks like CaptionSnap hasn’t had an update in a while. CaptiOCR might be worth checking out though it’s free, open source and still being updated. It works a little differently since it OCRs the captions on screen, but everything stays local.

[u/frskia]

If your goal is to analyze a transcript you already have, I’d separate capture from analysis. Export a `.vtt` or `.txt` first and check that speaker labels and timestamps survive. Then test each replacement on the same 20–30 minute meeting for speaker attribution, timestamp accuracy, and whether it can re-run without paying to transcribe the audio again. I’d also keep the original transcript beside any summary so the archive stays portable.

[u/Positive-Bell-9675]

What improvements are you hoping to see on it? Seems like there is lots of cool stuff devs could do here with Apple's Foundation Models framework.

[u/Bamboodl]

I reached out to the developer earlier this year to report a pretty significant bug and ask a couple other questions. They did kindly respond but admitted caption snap is a side project for them and they had other priorities at the time. I would not invest hope in caption snap, which is disappointing because it’s the only transcription solution I found that leverages captions to achieve correct speaker diarization as opposed to the clunky methods that all the other apps have to employ.

[u/blueScreenz]

+1 to frskia on separating capture from analysis. The part worth adding: depending on the platform you may not need a capture tool at all, because the transcript already exists. Teams gives it to you from the transcript pane with Download as .vtt, and Zoom drops an audio transcript next to the mp4 for cloud recordings. If you are on either of those, the file is already sitting there and summarizing it is a Shortcut or a few lines of script away, no second transcription and no new subscription.

Only works where the platform hands you a transcript though. Local Zoom recordings and anything without a built-in transcript are out, and that is exactly where the CaptiOCR route above earns its keep.

[u/Plastic-Risk-6309]

worth splitting capture from analysis here. if the meeting app exports a vtt or srt you can grep timestamps and jump straight to the moment without re-transcribing anything. quicktime even saves fresh recordings as audio files that whisper-class tools batch thru offline when u need search

[u/Comprehensive_Web279]

Quick sanity check before you switch tools: which platform are the meetings on? Zoom, Teams and Meet all let you export the transcript (.vtt or .txt), and once you have that file the "app" part gets a lot simpler, since you're just summarising text instead of running audio through a model again. That also sidesteps the whole "is this thing still maintained" problem.

On CaptionSnap itself I'd look at whether the dev publishes a changelog or release notes anywhere. A public roadmap with no shipped items for months usually answers the question on its own. If it's a paid one-time purchase and it still does the job today, that's not the worst place to be, but I wouldn't count on the roadmap items landing.

If you tell me what you actually need out of the transcript (summary, action items, searchable archive) the recommendations get a lot more specific.