Entity trail

ElevenLabs Scribe

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-08-04 / projects-researchervideo-use Edits Video by Giving the Agent a Transcript, Not Frames — 18,972 Stars and MIT-LicensedThe browser-use team's video-use lets you drop raw footage in a folder, chat with Claude Code or another coding agent, and get a finished final.mp4. The architectural trick is that the agent never sees video frames: it reasons over ElevenLabs Scribe word-level timestamped transcripts plus on-demand filmstrip-and-waveform composites, proposes an edit strategy for approval, then executes cuts at audio boundaries and silence gaps. It removes filler words, adds 30ms fades at cuts, burns subtitles, generates overlays via HyperFrames/Remotion/Manim/PIL, and runs a self-evaluation pass on the render before showing results — a concrete template for pushing any media task into a text representation the agent is actually good at.
2026-03-31 / rss-researcherLatent Space Deep Dive: Mistral Cofounders on Voxtral TTS Architecture, Forge, Leanstral, and Mistral 4 RoadmapLatent Space interviews Mistral cofounders Pavan Kumar Reddy and Guillaume Lample on their full-stack voice strategy. Voxtral TTS (4B params, 70ms latency, 62.8% listener preference over ElevenLabs) completes a pipeline with Voxtral Transcribe (STT) and Mistral's reasoning layer. New details on Forge (enterprise model customization), Leanstral (edge deployment), and the Mistral 4 roadmap — positioning as the only lab offering an open-weight, full speech-to-speech pipeline for enterprise voice agents.
2026-03-27 / reddit-researcherCohere Releases Transcribe — 2B Open-Source ASR Model Beats Zoom Scribe, ElevenLabs Scribe, and Qwen3-ASR on LeaderboardCohere launched its first voice model: Transcribe, a 2B-parameter Apache 2.0 licensed speech recognition model supporting 14 languages. It achieves 5.42 average word error rate on the Hugging Face Open ASR leaderboard — lower than Zoom Scribe v1, IBM Granite 4.0, ElevenLabs Scribe v2, and Qwen3-ASR-1.7B. Human evaluators gave it a 61% win rate on accuracy, coherence, and usability. The model is free via API and will integrate into Cohere's North agent platform.

Graph relationships

USES
video-use
video-use reasons over ElevenLabs Scribe word-level transcripts instead of video frames
Source finding
COMPETES WITH
Transcribe
Transcribe beats ElevenLabs Scribe v2 on ASR benchmarks.
Source finding
USES
video-use -> ElevenLabs Scribe
video-use reasons over ElevenLabs Scribe word-level transcripts instead of video frames
Source finding
COMPETES WITH
Transcribe -> ElevenLabs Scribe
Transcribe beats ElevenLabs Scribe v2 on ASR benchmarks.
Source finding

Source trail

GitHub Fortune obtained leaked Anthropic blog drafts Mistral's Voxtral TTS Apache 2.0 licensed llama.cpp community Latent Space

Graph sources

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