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

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Google Video API bill for 4 videos. I built my own

Name: Google Video API bill for 4 videos. I built my own
Availability: InStock
Author: iliashad

by iliashad·May 4, 2026·3 points·0 comments

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AI Analysis

●●●BangerSolve My ProblemBig BrainShip It

Replaces a $400 Google API bill with local YOLO, DeepFace, and Whisper running in Docker.

Strengths

•Multi-model pipeline (YOLO, DeepFace, Whisper) extracts rich metadata without cloud uploads.
•Docker-ready deployment abstracts complex ML dependencies into a single compose file.
•Semantic search over video frames and transcripts solves a genuine archival pain point.

Weaknesses

•Explicitly admits non-production status with incomplete features and potential bugs.
•Heavy local resource consumption for real-time analysis of 4K video libraries.

Post Description

I make YouTube videos (~80 so far, most around an hour). Plus, I have 6TB + of personal videos and unpublished.

I tried the Google Video Intelligence API. Got a $400 bill for 4 videos (5 minutes average, 4k videos) of analysis (doesn't include video transcription), and I used my GCP startup credits to cover the bill.

I decided to build my own tool that needs to have 3 important things: can transcribe videos, analyse video frames, and everything needs to be done locally.

I don't wanna deal with storing my videos in the cloud because of two concerns: privacy and storage cost.

I've been working for the last couple of months. I have a source available version that can be used for free (personal and commercial use with companies that have fewer than 5 people). Available here (https://github.com/IliasHad/edit-mind), and the project has 1.3k Github stars

Now, I'm building a desktop app with direct NLE integration (Final Cut Pro, DaVinci Resolve, and Adobe Premiere Pro). This includes an editing agent that understands your footage and your editing style.

Preview: https://youtu.be/jcctyfVg_34

Happy to answer questions and hear your feedback.