edit-mind

v0.30.0 Feature

This release adds 4 notable features for engineering teams evaluating rollout.

Published 28d RAG & Retrieval

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

ai computer-vision deepface face-recognition machine-learning self-hosted

+4 more

video-editing video-indexing video-processing videos

Summary

AI summary

Updates v0.30.0, Bug Fixes, and Infrastructure across a mixed release.

Full changelog

v0.30.0

Overview

This release significantly improves the performance and reliability of the frame analysis and embedding pipeline, faster visual indexing, and more accurate audio embeddings. It also introduces a dedicated beta release pipeline so beta Docker images are published separately from production releases.

Improvements

Frame Analysis & Face Recognition

The frame analysis pipeline now passes the original (unprocessed) frame to all plugins, giving face recognition and other plugins full image fidelity instead of a downscaled or pre-processed copy to use for cropping the face, and has the highest quality dataset for face recognition to prevent false recognition labels.

Visual & Audio Embedding

Visual embedding now runs in batches with thumbnail-based keyframe extraction, reducing memory pressure and speeding up indexing for long videos. Audio embedding has been reworked to embed directly from audio sample vectors by reading the full audio raw data and slicing the data in memory instead of using FFmpeg.

Processing Time UI

The processing times panel now shows a Total line that sums all stages. Null and negative values (from skipped or uncounted stages) are excluded from the total to keep the number meaningful.

Infrastructure

Beta Release Pipeline

A dedicated CI pipeline (release-beta / release-beta-gpu) now publishes beta Docker images to GHCR whenever a *-beta tag is pushed. Production release jobs are explicitly guarded to exclude beta tags, so the two paths no longer interfere with each other. The MCP server release is similarly scoped to non-beta tags only.

Bug Fixes

Audio embeddings no longer produce NaN vectors when a segment has no signal
FFmpeg partial output files are cleaned up on failure instead of being left on disk
Face recognition plugin no longer errors when the configured backend is unavailable at startup
Video stitching and exporting jobs issue with GPU encoding
Safe JSON parse for analytics chat response

Full Changelog: https://github.com/IliasHad/edit-mind/compare/v0.22.0...v0.30.0

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About edit-mind

Local-first AI video intelligence platform. Index your video library with multi-modal analysis (YOLO, DeepFace, Whisper), search semantically via natural language, Docker-ready.

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