Skip to main content

Boson-Video

Get the point of any video without watching all of it. Paste a YouTube link or drop a video file. Every line of the summary, the transcript and the screen text carries the second it came from, and questions are answered from the video and checked against it.

A video read in Boson-Video: the player and the ribbon on the left, the terms explained on the right

  • The ribbon: the whole video on one strip (scenes, chapters, most replayed). Hover to see any second's frame and words.
  • Summary: sections with their frames; every sentence timed and checked (✓ ? ✗).
  • Transcript: the original with English beneath, technical terms explained, on-screen text read in.
  • Ask: answers that cite their moments and show the frames, with background kept apart.
  • Your own AI: the same document as an MCP plugin for Claude, Cursor, Codex and more.

Built for long talks, lectures and finance videos in a language you half know (Chinese and English today).

In your own AI

One line, nothing else to install (uv runs it):

claude mcp add boson-video -- uvx boson-video mcp

Claude Desktop (claude_desktop_config.json) or Cursor (.cursor/mcp.json):

{ "mcpServers": { "boson-video": { "command": "uvx", "args": ["boson-video", "mcp"] } } }

Codex (~/.codex/config.toml):

[mcp_servers.boson-video]
command = "uvx"
args = ["boson-video", "mcp"]

Then ask your AI about any YouTube link. It opens the video, reads the transcript, looks at the frames that matter at full resolution, searches, and checks its claims, citing every moment. No keys needed. Everything runs on your computer. Details: docs/plugin.md.

Run the page

uvx boson-video web             # http://127.0.0.1:8770; the first run prints your invite code

Keys make it fuller: INCEPTION_API_KEY (Mercury writes the summary, the English and the terms) and TYPESAFE_API_KEY (Jev checks every sentence and answers questions). Without them you still get the scenes, the transcript and search.

Tested videos

Measured, one run each unless a range is shown. Mac: M5 MacBook with Apple's transcriber. Windows: a 12-thread laptop with SenseVoice or Parakeet on the CPU. Full tables: docs/measured.md.

Video Length Scene map Words Transcript errors¹ Screen text Summary ✓
Money or Life 美股频道, Meta and AI (zh, talking head) 24:53 1.3 s 13.8 s (Mac) no human captions — 13 / 13
Money or Life 美股频道, AI drug discovery (zh, slides) 28:24 1.1 s 18.5 s (Mac) not scored 36 moments read 15 / 16
程序员老王, LLM abliteration (zh, animated diagrams) 11:35 — 10.0 s (Windows) not scored 88 moments; subtitles apart at 85 21–22 / 22–23 (several runs)
陳永儀, TEDxTaipei (zh, talk) 14:29 — 7.1 s (Mac) 5.3% chars (Mac), 4.8% (SenseVoice) — 14 / 14
Ken Robinson, TED (en, talk) 20:06 — 9.9 s (Mac) 10.0% words (Mac), 10.5% (Parakeet) — 22 / 25
Sean's AI Stories, agent observability (en, screen recording) 20:48 1.5 s 13.2 s (Mac) not scored none: YouTube refused full resolution 23 / 26
Andrej Karpathy, Intro to LLMs (en, slides) 59:48 1.6 s 30.5 s (Mac) only automatic captions 19 of 20 slides right 22 / 23
Rick Astley, Never Gonna Give You Up (fast cuts) 3:33 0.7 s — — — —

¹ Against human captions (scripts/accuracy.py); about half the English errors are filler words the captions leave out. Summary ✓: sentences confirmed against what was said (Jev and code).

Command line

uvx boson-video <link | id | file>        # build a video: scenes, words, screen text, summary
uvx boson-video ask <video> "question"    # the moment that answers it
uvx boson-video models                    # fetch the local speech models now instead of on first use

From a clone: uv sync, then uv run boson-video …; uv run pytest runs the tests (offline).

More

MIT licensed. YouTube's terms don't allow automated access for products, so everything that touches YouTube runs on your own computer.

Metadata

Release files for boson-video 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for boson-video 0.2.0
File Size Uploaded
boson_video-0.2.0.tar.gz 611.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for boson-video 0.2.0
File Interpreter ABI Platform
boson_video-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 746.3 kB

Release files / boson_video-0.2.0.tar.gz

Download URL boson_video-0.2.0.tar.gz
Size 611.9 kB
Tags Source
SHA-256 checksum
How to use checksums
0a1470942e202b14b4d84da00384435bd78f97815fe18225737ad93fc724c2f4
BLAKE2b-256 checksum
How to use checksums
435b1431eeb87ccd5f48241af6a79b5879280e6a87ca23a350c87c3e184b8dec
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.12.0 {"installer":{"name":"uv","version":"0.12.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

Release files / boson_video-0.2.0-py3-none-any.whl

Download URL boson_video-0.2.0-py3-none-any.whl
Size 134.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b018e323243be1f51abad573bc6172b772310d87ed7c64aa29f80f63e47b7f7c
BLAKE2b-256 checksum
How to use checksums
20f7ce794f73003c28b98fdb25931bbc79c5469329cb60f565dcf616721e71df
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.12.0 {"installer":{"name":"uv","version":"0.12.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

Release history Release notifications | RSS feed

This release

0.2.0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page