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POEditor

Simple, affordable localization management for small teams

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About

POEditor is a straightforward localization platform with string-based pricing: you pay for the number of strings in your account, and a permanent free plan covers 1,000 strings. It supports bring-your-own-key AI translation through OpenAI, Claude, Gemini, and other providers, plus translation memory, glossaries, automated workflows, and integrations with GitHub, GitLab, and Figma.

The feature set is deliberately leaner than enterprise platforms, and string counts grow with each added language.

What it can do

  • String-based predictable pricing
  • Bring-your-own-key AI translation providers
  • Automated localization workflows
  • Translation memory, glossaries, and QA checks
  • Full API and repo integrations

Setup

  1. Create a project at poeditor.com (free up to 1,000 strings).
  2. Import your language files (JSON, PO, XLIFF, ARB, and more).
  3. Connect a repo or Figma for sync and add contributors.
  4. Run pre-translation or AI translation, then review in the editor.
  5. Export translations or pull them via the API.

Prerequisites

Language files in a supported format; a POEditor account.

Use cases

codeautomation

Works with

Generic APIgithubgitlabfigma

Trust score — 6/10

/10 trustMetrics-checked

Scored 6/10 (metrics tier, metrics-v1). Evidence: Free plan: 1,000 strings, unlimited projects; Start from $17/mo (poeditor.com, 2026); BYOK AI translation (OpenAI, Claude, Gemini, Azure, Bedrock) and MCP server confirmed (2026 profile); String count = keys + keys x languages (SimpleLocalize comparison, 2026); Vendor smaller than enterprise platforms - feature depth is deliberately leaner. License: Proprietary SaaS.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
7.0/10
Maintenance · recency, releases, issue load
7.0/10
Openness · license + docs
6.0/10
Manual review · sanity read + red-flag check
6.0/10
  • · Free plan: 1,000 strings, unlimited projects; Start from $17/mo (poeditor.com, 2026)
  • · BYOK AI translation (OpenAI, Claude, Gemini, Azure, Bedrock) and MCP server confirmed (2026 profile)
  • · String count = keys + keys x languages (SimpleLocalize comparison, 2026)
  • · Vendor smaller than enterprise platforms - feature depth is deliberately leaner

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.