What types of content and languages does Glitter AI support?
Updated
Glitter AI accepts two kinds of input — live recordings and existing video files — and produces written, shareable step-by-step guides from either. It works in 99 languages, and you can record in one language and share the finished guide in another with a single click. If your material is already sitting in a meeting recording, a screen capture, or even live footage, you don't need to redo it: upload the file and Glitter AI identifies the key moments and writes the guide for you.
What content can you feed into Glitter AI?
There are two paths, and they cover most documentation situations.
1. Capture a new process
Use the desktop app or the browser extension to record as you work. Glitter AI automatically captures screenshots and transcribes your speech, so you narrate the process while doing it rather than writing steps afterward.
This suits tasks you can perform on demand: walking through a software workflow, showing a new hire how a tool is configured, or demonstrating a procedure you repeat regularly.
2. Upload an existing video
This is the option to check first if you already have footage. According to Glitter AI, you can turn any existing video into a guide, including:
- Meeting recordings — a walkthrough that happened on a call becomes a written SOP.
- Screen captures — recordings made with other tools or at an earlier date.
- Live footage — video shot in the physical world rather than on a screen.
Glitter AI identifies the key moments in the video and generates a written guide from them. You can edit everything afterward, so the AI output is a starting draft rather than a locked result.
The practical consequence: you are not limited to processes you can re-perform in front of the recorder. If the only record of a procedure is a 40-minute meeting recording, that recording is usable input.
What languages does Glitter AI support?
Glitter AI states it works in 99 languages, with two distinct capabilities:
| Capability | What it means for you |
|---|---|
| Record in your language | Speak naturally in the language you think in; the transcription follows your speech. |
| Translate a guide in one click | Take a finished guide and produce a version in any of the 99 supported languages. |
| Record in one language, share in another | The workflow Glitter AI highlights: "Record in your language, share in theirs." |
That last row is the one that matters for distributed teams. A process owner can document a procedure in their own language, then publish the same guide to colleagues or customers who read a different one — without rewriting the steps by hand.
How the output gets shared
Once a guide exists, Glitter AI gives you three distribution routes:
- A link — public or private, so you control who can open it.
- An export — the guide leaves Glitter in a range of formats.
- An embed — place the guide inside one of hundreds of supported platforms.
So the language and content question doesn't end at generation. A guide recorded in one language, translated into another, and embedded in your help center or internal wiki is a supported path.
Choosing based on your situation
- You already have footage (a meeting recording, an old screen capture, live video): upload it. No re-recording needed.
- You need to document something you can perform now: record with the desktop app or browser extension and let the transcription and screenshots build the draft.
- Your audience reads a different language than you speak: record in yours, translate the guide, share the translated version.
- You want the guide to live inside another tool: use the embed or export route rather than sending a bare link.
What to verify before committing
Glitter AI's site advertises a free starting point — 10 guides, no credit card required, setup in seconds — and links to a separate pricing page for anything beyond that. It does not publish the specific limits or terms of paid tiers on the pages reviewed here, so check the pricing page directly if guide count, seats, or export formats matter to your decision.
One more thing worth testing early: upload one of your own existing videos and confirm the key moments Glitter AI picks match what you would have highlighted. That single trial tells you more about fit than any feature list, because the quality of moment selection is what determines how much editing the draft needs.