Overview
VervAI is a long-form to short-form content engine. It accepts audio/video files, YouTube URLs, or subtitle files as input and produces LinkedIn posts, newsletter sections, and short-form video scripts in the user's voice.
The system includes an agentic layer that plans content angles from a transcript, allows human approval of those angles, then generates and evaluates drafts.
The application is built with Next.js 14, Supabase, Gemini, and AssemblyAI. It supports three input paths: file upload, YouTube URL, and transcript file. Drafts are generated asynchronously and can be edited, regenerated, or copied. Distribution is handled through a connected Buffer account with manual approval.
Pricing
Free
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Use Cases
- Teams use VervAI to repurpose long-form audio or video into short-form content like LinkedIn posts and newsletter sections.
- Teams use VervAI to generate short-form video scripts from existing transcripts.
- Teams use VervAI to plan content angles from a transcript using an agentic layer.
- Teams use VervAI to transcribe audio/video files via AssemblyAI.
- Teams use VervAI to extract captions from YouTube videos.
- Teams use VervAI to parse subtitle files without transcription cost.
- Teams use VervAI to schedule and publish content to social media via Buffer.
- Teams use VervAI to evaluate and revise drafts using a deterministic rubric.
Features
AI assistant
Natural language interface
Workflow automation
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