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Install in OpenClaw
/install video-to-text-gratis
Description
convert video files into transcribed text files with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. students, content creators, journalists us...
Usage Guidance
This skill implements a cloud-based transcription/render pipeline: uploading a video will send the file to mega-api-prod.nemovideo.ai and the service will return transcripts and exported MP4s. Before installing or using it, consider: (1) privacy — do not upload sensitive or confidential videos unless you trust the unknown service owner (no homepage/provenance provided); (2) token handling — the skill will use NEMO_TOKEN if present or request an anonymous token from the backend (it can obtain short-lived credentials itself); (3) local file access — it may read certain local paths (its frontmatter references ~/.config/nemovideo/ and asks to detect install path) though no installer runs; (4) data retention and terms — confirm how uploaded media and transcripts are stored/retained by the backend. If you need stronger guarantees, prefer a local transcription tool or ask the skill author for a public homepage, privacy/retention policy, and source code so you can audit the service.
Capability Analysis
Type: OpenClaw Skill
Name: video-to-text-gratis
Version: 1.0.0
The skill is a legitimate integration for a video transcription service hosted at mega-api-prod.nemovideo.ai. It provides detailed instructions for the AI agent to manage authentication via anonymous tokens, handle file uploads, and poll for cloud-rendered video results. While it includes telemetry-like attribution headers (X-Skill-Platform) and requires network access to its backend, these behaviors are transparently documented and directly support the stated purpose of converting video to text without any evidence of malicious intent or unauthorized data access.
Capability Assessment
Purpose & Capability
The name/description (video→text transcription) align with the required credential (NEMO_TOKEN) and the SKILL.md which documents HTTP APIs for uploading videos, creating sessions, polling render status, and getting transcripts/exports. Requesting a token for a cloud backend is expected for this purpose.
Instruction Scope
Instructions explicitly direct the agent to read NEMO_TOKEN, create sessions, upload files (multipart or by URL), use SSE for streaming responses, and poll render endpoints. These are coherent for a remote transcription/render service. Notably, the skill also instructs the agent to detect install path and read its own YAML frontmatter for attribution headers; that requires checking local paths (e.g. ~/.clawhub/, ~/.cursor/) and may touch a config path declared in the frontmatter (~/.config/nemovideo/) — this is not essential to core transcription and is an ancillary behavior to be aware of. All user-provided video data will be sent to mega-api-prod.nemovideo.ai as part of normal operation.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only. That minimizes on-disk installation risk; runtime behavior is limited to making network calls and reading environment/files as described.
Credentials
Only one credential is declared (NEMO_TOKEN), which matches the backend usage. The SKILL.md also documents an anonymous-token flow (POST to the backend to obtain a temporary token if NEMO_TOKEN is not present), which is coherent but means the skill can obtain and use short-lived credentials itself. The frontmatter mentions a config path (~/.config/nemovideo/) that the registry metadata did not list — a minor inconsistency that means the skill may read that directory if present.
Persistence & Privilege
The skill is not force-installed (always: false) and has no install actions. It does not request system-wide privileges or modify other skills. Autonomous invocation is enabled by default but is not combined with other high-risk flags.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-to-text-gratis - After installation, invoke the skill by name or use
/video-to-text-gratis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Video to Text Gratis — convert video speech to text with free cloud GPU processing.
- Supports MP4, MOV, AVI, WebM files up to 500MB; delivers 1080p MP4 results in 30–60 seconds.
- Automatically authenticates via anonymous token for first-time users (100 free credits, 7-day expiry).
- Handles video upload, transcription, export, credit balance, and state queries through clear user prompts.
- Guided error handling for unsupported formats, oversized files, expired tokens, and export restrictions.
- Suitable for students, content creators, and journalists seeking quick video-to-text conversion.
Metadata
Frequently Asked Questions
What is Video To Text Gratis?
convert video files into transcribed text files with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. students, content creators, journalists us... It is an AI Agent Skill for Claude Code / OpenClaw, with 96 downloads so far.
How do I install Video To Text Gratis?
Run "/install video-to-text-gratis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video To Text Gratis free?
Yes, Video To Text Gratis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video To Text Gratis support?
Video To Text Gratis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video To Text Gratis?
It is built and maintained by mory128 (@mory128); the current version is v1.0.0.
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