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The guided tutorial and videos makes it easy to start using the core features immediately. I clipped a portion from the demo transcript, requested to download a reel, and I received an email notification when the download was ready. The reel was the exact portion I was expecting. The entire process was seamless.
I will be hosting an AI event with a number of speakers sharing their project and workflow in the coming weeks. Instead of manually spending hours editing in Final Cut Pro or Capcut to make reels, I will be looking to use Clipses for this very purpose.
Very excited to see the growth of this project. Well done to the team!
A neat QoL feature: For horizontal videos (16:9), if there is a way to save the reel in portrait format (9:16), that would be convenient for users that don't know how to manually convert/crop a horizontal video for socials.
The onboarding experience and video tutorial made the experience smooth and easy to use. I also appreciate the minimal, intuitive UI.
Clipses addresses a pain point of qual researchers in both industry and academia by cutting out the need to spend hours editing video and audio files to pull relevant quotes. With Clipses, researchers can elegantly navigate their transcripts, code their data, and extract clips to create reels or samples for presentations. Whether your deliverable is aimed at C-suite or a conference, there's real value here that will save people time (and money) and provide additional polish. Based on my time with this tool and the developers, I think it's likely that Clipses will become indispensable to both career researchers and students of qual methods.
This is super easy to use, very intuitive. Processing video is quite a chore, and I like how this fits the way I review transcripts for meaningful moments. Nice work!
I'd love to be able to select specific text inside clips!
👋 Hi Product Hunt, I'm Natalie, co-founder of Clipses.
For 8 years I’ve led researchers: people who studied under Don Norman, have decades of market research experience, and have ample degrees: HCI and CS and UX and MBAs. So when I say even the most competent researchers are drowning in interview admin, I've lived it. Hours of footage, then hours more spent hunting for the research proof a stakeholder needs for a 9am decision.
Clipses is my answer to that problem. The idea is simple: help researchers quickly turn interview footage into findings people actually watch.
Think of it like the intersection of Dovetail and Opus. A high utility version of Dovetail's clipping and tagging, without all the extra clunky features. And the easy video creation capabilities of Opus, but built specifically for researchers.
Here’s some of what you get:
Transcribes and syncs your interview recording, so every word is searchable
AI search by meaning ("switching cost," "onboarding friction"), not just keyword
One-click clipping straight from the transcript, no video scrubbing
Theme your findings with tags and playlists
Pull matching moments across every session into one reel
Share a link that plays in any browser, no app required
Export CSVs of your research to work with your data anywhere
I have cold-messaged hundreds of researchers to show them an early version of Clipses. One told me she'd been trying to do this with an industry-leading tool and that it was “just too much." Another saw the demo and said: "It's so simple. It's just solving this one problem that we have." That's when I knew the need was real.
Clipses is free to start: no credit card required. Upload your first recording and you'll also unlock 14 days of paid features including unlimited projects and transcripts, watermark-free downloads, and more.
Try it out here: https://clipses.ai/signup
I'm reading every comment today, answering questions, and collecting feedback.
Thanks for checking it out,
Natalie
@natalie_thomas3 The workflow looks really well thought out. I can definitely see how reducing hours of interview review into minutes would be valuable for research teams.
@natalie_thomas3 Very cool. Looking forward to seeing it in action!
@natalie_thomas3 This looks really helpful! Takes me back to my college days running usability testing interviews; so much time went into manually coding transcripts and hunting for the right moment to back up a finding. A tool like this would've saved me hours. Excited to see where this goes for future researchers.
I really enjoyed this demo! I love how you've taken such a tedious part of the research process and made it feel simple and approachable. The transcript-first workflow stood out to me; it feels much more natural than digging through a video timeline, and I can see how much time it would save. Great job!
One thing I'm curious about: How does the search handle more nuanced themes or insights that aren't stated explicitly? I think it would be very cool to explore that angle!
@poorva_ketkar1 Thanks so much, Poorva! Glad Clipses promises to make the transcript to video workflow more approachable and simple tha digging through transcripts and timeline scrubbers!
Right now, semantic search is quote-first since we're so focused on video clipping and many folks are getting what they need from LLMs with regard to unsaid themes. In the future, we want to do more to address the undertone of the conversations like sentiment analysis and improved semantic search. Looking forward to sharing updates!
After running my first usability study solo, I discovered how frustrating and grindy reviewing all the footage and transcripts would be. After discovering the transcripts alone wouldn't be accurate enough to pull qualitative data from, I ended up personally watching back all 9 hours of footage at 2x speed to time stamp and hand code meaningful quotes into a spreadsheet. After all that work, I didn't have the skills or time to be able to share impactful video moments when I presented the findings with the founder and team. After going through all that and wrapping up the study, Jon reached out about Clipses. Using Clipses would have saved me hours of time, and would have allowed me to clip together meaningful moments to share. Seeing video of real people makes a much bigger impact on stakeholder decisions than reading their quotes alone. It adds the humanity back into the data. I'll definitely be using Clipses in my next big project.
@isabel_stephens Thanks so much for that insight!
That moment is exactly why we built Clipses. Most researchers are adding clips to reports only as the last step in an already long project. Clipses takes that last half day down to a few minutes that are no longer are tacked onto the end of the project, but instead meaningfully integrated into the end-to-end research workflow.
Looking forward to your feedback after your next project!
@isabel_stephens Thank you! Can't wait to hear more about your experiences with the app soon!
@ola11king Thanks Ola! Would love to see how Clipses supports you as a PM + UXR combined. Will continue to keep you in the loop with feature updates!
@dima_todorova_lilavois Thanks so much, Dima! Your feedback has been so valuable. Really stoked to get this in the hands of more researchers.


Thanks so much, Ben! Your comment is exactly the point. Most researchers just want a clip, not to learn video editing tools like Final Cut Pro, which are often too complex and have a challenging learning curve. Clipses is designed to be simple. Video in, pick your clips, video out. No timestamp scrubbing or complicated UI.
Thanks so much for giving it a look!