hyperlocalise CLI generates local translation drafts, optionally syncs with Cloud or your TMS, and tracks what still needs review.
For the Cloud workspace — infrastructure for multilingual content operations — see Hyperlocalise Cloud.
CLI focus
- LLM provider layer: OpenAI, Azure OpenAI, Gemini, Anthropic, AWS Bedrock, LM Studio, Groq, Ollama
- TMS adapters (experimental): Crowdin, LILT AI, Lokalise, Phrase, POEditor, Smartling
- Eval framework (experimental): quality + regression checks across locales/models
- CI-ready status labels (experimental):
ready/needs review/missing - Plan-first + lockfile: deterministic runs and reviewable diffs
Feature graph
Who this is for
Use this CLI if you:- keep translation files in your repository,
- want AI-generated drafts as a starting point,
- want to choose between zero-human workflows and optional human curation in your TMS.
Core workflow
Start in 10 minutes
Common next steps
- Sync a repo with Cloud: Connect the CLI.
- Learn command behavior in commands overview.
- Configure provider credentials in provider credentials.
- Understand TMS adapter sync in storage overview.
- Review feature maturity in the stability matrix.