Bill of materials
Tech stack and integrations
Pricing approach
Project-based and scope-dependent. Book a call to discuss the workflow, complexity, integrations, and rollout plan.
Automation service
Abhijeet builds end-to-end AI video pipelines, proven by a live system that converts a written script into a narrated, subtitled, edited 1080p video using AI storyboarding, image generation, voiceover, and FFmpeg — handling everything from 1-minute Reels to 40-minute YouTube videos.

Script-to-video pipeline with AI storyboarding and scene planning
AI image and video generation with policy-failure retry loops
Voiceover generation with scene-level timing and subtitles
Automated editing, Ken Burns motion, and final render via FFmpeg
Publishing workflows for YouTube and Instagram with asset archiving
Bill of materials
Project-based and scope-dependent. Book a call to discuss the workflow, complexity, integrations, and rollout plan.
Related resources
These service, guide, and proof pages support this implementation path.
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Case study
A two-workflow pipeline that turns a written script into a narrated, subtitled, edited 1080p video — AI storyboarding, image generation, voiceover, and FFmpeg assembly, with no manual editing in between.
Case study
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Case study
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Q.01
A finished video: storyboarded scenes, generated visuals, voiceover, subtitles, motion, and a rendered 1080p file — from nothing but a written script.
Q.02
Yes. The documented system dynamically handles 1-minute shorts and 40-minute long-form videos with the same workflow.
Q.03
The pipeline detects failures, corrects the prompt automatically, and retries missing scenes — so a single bad generation never blocks the video.
Q.04
Yes. Publishing steps can upload to YouTube or Instagram on a schedule, with titles, descriptions, and thumbnails prepared in the same workflow.
Q.05
Yes. Product explainers, tutorials, case-study videos, and ad variations can be produced at a fraction of manual editing time — fed by the same content system as your website.