clipsense
Let Claude and other AI apps actually watch and listen to videos.
Send your AI a YouTube link or a video file, and it gets what a person gets from watching:
- 🗣️ Everything that's said, with timestamps
- 🎬 What's on screen: a frame from each new shot
- 🔊 The other sounds: laughter, music, applause, a dog barking, an AI-sounding voice
- ⏪ Rewind: it can zoom in on any moment, or flip through fast action frame by frame
All of it is lined up on one timeline, so the AI knows what was shown and heard while each thing was said.
[00:12] So I told him the wifi password was "incorrect"...
--- Frame at 00:15 --- 🖼️
Sounds: Laughter, Applause
[00:18] Thank you, thank you.
Install
Windows
- Download clipsense-installer.exe.
- Double-click it.
- If you see "Windows protected your PC", click More info, then Run anyway. This appears for new apps that aren't code-signed.
- Follow the steps. When it asks, quit Claude, and it reopens by itself when done.
Mac
- Download clipsense-installer-mac.zip and open it.
- Right-click
clipsense-installerand choose Open, then Open again. A normal double-click is blocked the first time because the app isn't from the App Store. - Follow the steps. When it asks, quit Claude, and it reopens by itself when done.
Or use the terminal
If you're comfortable with a terminal, install uv, then run:
uv tool install --python 3.12 "clipsense[all]"
clipsense setup
clipsense setup connects it to Claude Desktop. Add claude-code or cursor to connect those too, and add
--groq-key YOUR_KEY to use Groq.
Use it
Open Claude, start a new chat, and give it a link or a file:
Watch https://www.youtube.com/watch?v=GvijmN66dZQ and tell me how people kept food cold before fridges
What's the funniest moment in C:\Users\me\Videos\party.mp4?
Summarize this lecture and list every formula written on the board: https://youtu.be/...
In Claude Desktop you can check it's on with the + button under the message box → Connectors → clipsense.
It works with YouTube and most video sites, direct links to video or audio files, and files on your computer (mp4, mov, mkv, webm, mp3, wav, m4a and more). Each video is processed once and remembered, so follow-up questions are instant.
Free or faster?
The installer asks how speech should be turned into text:
| Free, on your computer | Groq | |
|---|---|---|
| Cost | Free | Free tier, then very cheap |
| Privacy | Audio never leaves your computer | Audio is sent to Groq |
| Speed | About 1–2 minutes per 10 minutes of video | A few seconds |
| Accuracy | Good, but it can mishear names | Excellent |
Get a Groq key at console.groq.com/keys. To switch later, run the installer again.
Sound detection and frames always run on your computer.
Other apps
clipsense is an MCP server, so it works with any app that supports MCP. After installing, point the app at:
{
"mcpServers": {
"clipsense": { "command": "clipsense", "args": ["serve"] }
}
}
No MCP support? (ChatGPT, Gemini, ...) Turn a video into files you can upload to any chat:
clipsense digest my_video.mp4
This creates my_video_digest/ with the timeline, transcript and frames.
What the AI gets
| Tool | What it does |
|---|---|
watch_video |
The whole timeline: transcript, a frame at each scene change, and the sounds in between. |
look_closer |
Zoom in on a time range or exact moments. Use high_res for small text, or filmstrip to pack a fast moment into one grid image. |
transcribe_media |
Transcript and sounds, for podcasts, voice notes and meetings. |
media_info |
Length, resolution and tracks. |
Speech uses Whisper (locally, or via Groq or OpenAI). Sounds use MIT's Audio Spectrogram Transformer, which recognises 527 kinds of sound. Videos are downloaded with yt-dlp.
Settings
Optional environment variables (add them under "env" in your app's MCP config):
| Variable | Default | |
|---|---|---|
GROQ_API_KEY / OPENAI_API_KEY |
Use an API for transcription. | |
CLIPSENSE_TRANSCRIBER |
auto |
auto, local, groq or openai. |
CLIPSENSE_WHISPER_MODEL |
base |
Local model: tiny, base, small, medium, large-v3, turbo. Bigger models are more accurate but slower. |
CLIPSENSE_DEVICE |
auto |
auto, cpu or cuda. |
CLIPSENSE_VAD |
off |
Skip silent parts before transcribing. Faster on long, quiet recordings, but it can drop shouting and children's speech. |
CLIPSENSE_SOUNDS |
auto |
off disables sound detection. |
CLIPSENSE_MAX_MINUTES |
180 |
Longest video accepted. |
CLIPSENSE_MAX_FRAMES |
30 |
Most frames per request. |
CLIPSENSE_CACHE_DIR |
system temp | Where downloads and results are kept. |
Uninstall
uv tool uninstall clipsense
Then remove the clipsense entry from your app's MCP config. In Claude Desktop: Settings → Developer → Edit Config.
Hosting (advanced)
clipsense serve --http runs a web MCP endpoint at /mcp, so ChatGPT and claude.ai can connect to it by URL. In
this mode only public URLs are accepted, never local files.
docker build -t clipsense .
docker run -p 8000:8000 -e CLIPSENSE_TOKEN=change-me -e GROQ_API_KEY=gsk_... clipsense
Always set CLIPSENSE_TOKEN. Clients connect with https://your-host/mcp?key=<token> or an
Authorization: Bearer <token> header.
Development
uv sync --all-extras
uv run python tests/smoke_test.py [video path or URL]
uv run python installer/clipsense_installer.py
License
MIT
Metadata
Release files for clipsense 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| clipsense-0.1.1.tar.gz | 21.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| clipsense-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 47.3 kB
Release files / clipsense-0.1.1.tar.gz
| Download URL | clipsense-0.1.1.tar.gz |
|---|---|
| Size | 21.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a128d1dc43f018544cdce049a747ec7a2189369e3202f5a76995bb6c53d2bba4
|
|
BLAKE2b-256 checksum How to use checksums |
d1ab218833a05df56d9824becb0ed79881f9c32a48f9d22e9558470dfc6f8f9a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
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Signed by GitHub Actions, verified by PyPI on Oct 10, 2026.
Transparency logRelease files / clipsense-0.1.1-py3-none-any.whl
| Download URL | clipsense-0.1.1-py3-none-any.whl |
|---|---|
| Size | 25.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3222cf61baadcf12f67a847dd4d306f0ffe027a1908d2d18eff4a5b006186116
|
|
BLAKE2b-256 checksum How to use checksums |
ea7d17510d111811a4636e04308bb747360b8d09432feeb8fc28728483b77004
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 10, 2026.
Transparency log