Summary
The agency spends time moving from scripts and raw media through editing, branding, rendering, and publishing.
The solution became one AI video creation workspace for source content, scenes, templates, and publishing.
The software is made to reduce manual production work while keeping repeatable video creation in one place.
Client story
The client is a content agency from Lithuania. It produces short-form video variations and branded content for social channels.
Its work includes scripts, prompts, and articles. It also uses images, data, and existing media.
The agency spends time assembling scenes, choosing visuals, and preparing voiceovers. It also edits captions, applies brand settings, and prepares publishing details.
The request was simple: generate videos from varied content sources, keep branding consistent, support repeatable batch production, and publish finished videos through platform connections.
The solution was shaped as a modular content production workspace. Separate screens cover creation, editing, export settings, and the publishing queue.
Documentation helps the agency operate the system independently.
The client asked for
- Keep logos, colours, fonts, themes, styles, and templates configurable
- Schedule and publish videos to YouTube and social platforms
- Support repeatable batch production with minimal manual editing
- Generate videos from scripts, prompts, articles, images, data, or media
Why ready-made software did not fit
Ready-made AI video generators cover text-to-video, editing, and distribution, but their descriptions also point to limited credits or high costs. The required system also supports batch production, documented operation, and the required output formats and platforms.
Project overview
The solution was designed around the source content, editing, rendering, and publishing stages described for the agency. The creation workspace accepts scripts, prompts, and topics.
It also accepts articles, data, and images. It accepts audio, video clips, and existing media.
To handle different production styles, the workspace assembles scenes and visuals into an editable timeline. remotion (a library for creating videos programmatically) supports video creation, while FFmpeg (a tool for processing and rendering media) handles media operations.
Special attention was paid to repeatable branding. The system applies logos, colours, and fonts to video outputs.
Themes, styles, and reusable editing templates are also supported.
The publishing queue brings rendered videos together with titles, descriptions, and tags. python-youtube (a Python wrapper for the YouTube Data API) supports YouTube publishing workflows. Automation tools coordinate rendering, scheduling, and publishing.
The studio structured the system as modules so later features, forms, automations, or integrations can be added without rebuilding the whole workspace. Documentation and training support the agency team’s day-to-day operation.
Key features delivered
- Generate videos from scripts, prompts, topics, articles, images, data, or existing media
- Assemble scenes, visuals, footage, voiceovers, music, captions, and transitions
- Edit videos through a scene list, preview, and timeline
- Apply logos, colours, fonts, themes, styles, and reusable templates
- Render 16:9, 9:16, and 1:1 videos in selected resolutions
- Create subtitles, dynamic captions, thumbnails, and publishing metadata
- Prepare short clips from long videos or video URLs
- Schedule and publish videos or clips through platform APIs and automation workflows