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cue-kit

PyPIInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 9 Oct 2026. How this is checked

cue-kit is an open-source Python toolkit for converting videos into structured text, including transcripts, training documents, and lecture notes. It uses video-processing and transcription tools for developers, educators, trainers, and researchers.

Inferred · not functionally tested

Open SourceAGPL-3.0CLISelf-hosted
Visit PyPI
1star
7features
2026since

Overview

6 features

Purpose: Turning video content into usable transcripts and structured documents without manually transcribing or organizing it.

Inferred · not functionally tested

Audience: developers, educators, trainers, and researchers

Inferred · not functionally tested

Functions: speech_to_text, data_extraction

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: AGPL-3.0 · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

cue-kit is a Speech to text project. Inferred · not functionally tested: It focuses on turning video content into usable transcripts and structured documents without manually transcribing or organizing it. Inferred · not functionally tested: It is built as an open-source project for developers, educators, trainers, and researchers. Basis unknown · not verified: cue-kit is open source under the AGPL-3.0 license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

Behind cue-kit is Atlas Bear, and it first shipped in 2026. The project is developed in the open on GitHub with 6 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include video transcription, structured text output, and training documents.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Video transcription
  • Structured text output
  • Training documents
  • Lecture notes
  • Whisper support
  • Video downloading

Topics: Inferred · not functionally tested

Tags
video-transcriptionwhisper-pipelinetraining-document-generationlecture-notesmedia-to-text
AI capabilities
Text
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
anthropic
Runs on
CLISelf-hosted

Trust & compliance

License
AGPL-3.0
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 1Active maintenance

Indexing history

2

What PulseGate has recorded for this listing

  1. Indexed9 Oct · 10:51 UTC
    cue-kit seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed9 Oct · 09:00 UTC
    cue-kit seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about cue-kit

What does cue-kit do?
Inferred · not functionally tested: Cue-kit focuses on turning video content into usable transcripts and structured documents without manually transcribing or organizing it. It is catalogued under Speech to text on PulseGate.
Who is cue-kit for?
Inferred · not functionally tested: cue-kit is an open-source project built for developers, educators, trainers, and researchers.
Is cue-kit free?
Basis unknown · not verified: Yes — cue-kit is open source under the AGPL-3.0 license and free to use.
What platforms does cue-kit run on?
Basis unknown · not verified: cue-kit runs on the command line. It can also be self-hosted.
Is cue-kit still maintained?
The GitHub repository shows 6 commits in the last 90 days.
What are alternatives to cue-kit?
Similar projects tracked by PulseGate include echo99, Audio Converter AI, and Vibe Prompt.echo99Audio Converter AIVibe Prompt
Who makes cue-kit?
cue-kit is developed by Atlas Bear.
How long has cue-kit been around?
cue-kit first shipped in 2026.

Also in Speech to text

Same category — not a similarity match

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