IG-2-Insights – Instagram Reel Transcription
A CLI tool written in Go that transcribes Instagram Reels to text using local Whisper AI. Batch process reels, extract insights, and keep everything private on your machine.
GoCLIWhisper AIyt-dlp
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Problem Statement
- Privacy Concerns: Cloud-based transcription services require uploading content, exposing potentially sensitive material to third parties.
- Manual Effort: Transcribing reels by hand is slow, tedious, and prone to errors, especially for non-native speakers.
- Scale Limitations: Processing large batches of reels for research or content analysis requires automation that most tools lack.
- Inconsistent Quality: Free online tools often produce poor transcriptions with limited language support and no customization.
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Goals & Objectives
- Enable fully offline, private transcription using local AI models.
- Support batch processing with concurrent workers for high throughput.
- Provide multiple output formats (text, SRT, JSON) for different use cases.
- Auto-manage dependencies so users can start transcribing immediately.
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The Solution
- A Go CLI with whisper.cpp for accurate, local AI transcription.
- Concurrent batch processing with smart caching to avoid redundant work.
- Interactive menu mode for easy use, plus full CLI flags for automation.
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Architecture diagram or system overview
Results
ig2insights enables private, offline transcription of Instagram Reels at scale. Users report significant time savings compared to manual transcription or cloud-based alternatives. The batch processing feature allows researchers to analyze hundreds of reels in minutes. The tool has become essential for content repurposing workflows and social media analysis.