How VidSeeds.ai works
From finished video to platform-ready launch.
VidSeeds.ai reads the transcript and frames from your existing video, drafts the metadata and launch assets, then gives you the final say for every platform.
Start with 30 seeds. Nothing publishes until you approve it.
One clear workflow
Four decisions from video to publish.
The same path keeps the real video, channel voice, platform requirements, and creator approval connected.
- 01Bring the videoUpload a local file or connect the YouTube channel that already holds it.
- 02Read the real contentAI analyzes speech, scenes, pacing, and channel context before drafting metadata.
- 03Build the launch packageReview titles, descriptions, tags, chapters, thumbnails, clips, and any localizations you need.
- 04Approve each platformEdit anything, then publish only the versions you choose for your connected channels.
Choose your starting point
Start from the video state you have.
The correct route depends on whether the video is still local, already on YouTube, or needs one specialist task.
Complete route guide
Find the tool for the job in front of you.
Open one group, compare the available routes, and continue with the exact task you selected.
Create & optimizeStart a project from a local file, check it before you publish, tighten the edit, and build the thumbnail.
Repurpose & localizeTranslate metadata into 85 languages, manage the results, and cut vertical shorts from long video.
Analyze & decideRead your channel, find the next video, place mid-rolls, and find out why one underperformed.
Manage & operateCome back through the dashboard, reopen a project where you left it, connect platforms, and check your voice profile.
Run it from your AI toolsConnect Claude, Cursor, Codex, or ChatGPT to the MCP server and run the same tools without leaving your editor.
Before you start
Frequently Asked Questions
What is VidSeeds.ai, exactly?
It's a pre-upload video SEO tool. You bring an existing video or connect a YouTube channel, and the AI reads the actual content (speech, scenes, and pacing) to write titles, descriptions, tags, chapters, and thumbnails for YouTube, TikTok, Instagram, Facebook, LinkedIn, and X. It is not a video generator, editor, or host. You review and edit everything before it publishes.
Where does a project go after /projects/new?
Creating it is just the entry step. The New Project flow finishes the analysis first, then lands on /projects/[id]/optimize. The same family also includes /projects/[id]/analyze, /projects/[id]/schedule, and /projects/[id]/results.
Which pages need a connected YouTube channel?
The YouTube-driven tools (Re-Optimize, Translate, Mid-Roll Ads, Why, Intelligence, Video Ideas, and Channel Description) need a connected channel. The upload-first tools (Projects, Thumbnails, Auto-Clips, Diagnose, and Precision Trim) start from a local file. Translation review sessions start from Translate after you pick a YouTube video.
Does Translate publish to every platform?
No. Translate creates a review session, lets you edit and retry languages, and publishes the title and description localizations you approve to YouTube, not to the other platforms.
What upload and export limits matter here?
Server uploads go up to 1 TB. Some browser-side exports are stricter: there's a 500 MB cap on the client-side rebuild used for thumbnail first-frame export and Precision Trim export.
Can my AI assistant run VidSeeds.ai for me?
Yes. Connect Claude, Cursor, Codex, ChatGPT, or another MCP client to https://vidseeds.ai/api/mcp: OAuth for Claude, a Personal Access Token from /settings/mcp-settings for the rest. It runs the same tools as the web app, with your channels and voice in context. There's a 14-day free trial from your first connection; after that it needs an active subscription, and tool calls use seeds at the same rates as the web.
Does it publish anything on its own?
No. Every title, description, tag, thumbnail, translation, and caption is yours to review and edit first. Nothing reaches your channels until you choose to publish: on the web or through the MCP connector.
Bring the video
Build the package before you publish.
Start a project from the finished video. Review every platform version, spend seeds only on the actions you choose, and publish when it is ready.
