Bitextor vs locAGI

Bitextor has no write-up on Specifiction yet; its figures are above.

locAGI is a managed cloud computer-assisted translation platform combining translation memory, terminology management, AI-assisted translation, and quality review. It is designed for enterprise localization and linguistic teams, including staff and contracted freelancers. The platform is currently in private beta, with public release scheduled for Q2 2027. It lists AI models from OpenAI, Anthropic, Google, Mistral, DeepSeek, xAI, and DeepL, plus private models through Ollama or OpenAI-compatible endpoints. Quality review can use MQM Core, LISA QA Model 3.1, or custom free-text categories, with findings exportable to Excel. Workflows include memoQ MQXLIFF, Trados SDLXLIFF, Phrase MXLIFF, and XLIFF 1.2 and 2.0; more than 40 source formats are supported. A REST API, tokens, webhooks, and an OpenAPI specification support project, segment, QA, and export automation. The platform plan is free, with unlimited seats and included storage; AI is billed separately or can use BYOK. locAGI cannot be self-hosted, and desktop CAT tools are described as more battle-tested for XLIFF files with 50,000 or more segments.