
LILT Platform
Machine translation software
OCR software
Translation management software
Localization software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if LILT Platform and its alternatives fit your requirements.
Contact the product provider
Small
Medium
Large
- Public sector and nonprofit organizations
- Information technology and software
- Healthcare and life sciences
What is LILT Platform
LILT Platform is a translation and localization platform that combines translation management workflows with AI-assisted machine translation and human-in-the-loop review. It is used by localization teams, language service providers, and enterprises to translate product, support, and marketing content across multiple languages. The platform emphasizes adaptive translation models that learn from user feedback and provides integrations and APIs to connect with content repositories and delivery pipelines.
Human-in-the-loop translation workflow
The platform supports interactive translation where linguists review and correct output while the system adapts to those edits. This can improve consistency for recurring content and terminology over time compared with one-off machine translation. It also fits teams that need auditability and reviewer control rather than fully automated translation.
Integrated TMS and MT stack
LILT combines translation management features (projects, assignments, QA checks, and workflow controls) with built-in AI translation capabilities. This reduces the need to stitch together separate systems for translation production and MT. It can simplify operations for teams that want a single environment for translation throughput and governance.
API and connector ecosystem
The platform provides APIs and integrations intended to connect with common content sources and localization pipelines. This supports automation for continuous localization and reduces manual file handling. It is relevant for engineering-led teams that need translation to fit into CI/CD or content publishing workflows.
OCR is not core focus
Although OCR is listed as a category fit, OCR capabilities are not typically the primary reason organizations adopt LILT. Teams with heavy document imaging needs may require dedicated OCR tooling for complex layouts, tables, or scanned PDFs. In those cases, OCR may sit upstream of LILT rather than being handled end-to-end inside the platform.
Best fit for managed workflows
Organizations looking for a lightweight, developer-only translation API may find a full translation management workflow more than they need. The platform’s value increases when teams use projects, roles, review steps, and QA controls. Smaller teams may experience overhead if they only need ad hoc translation.
Model behavior varies by domain
Adaptive MT performance depends on the amount and quality of feedback and domain-specific data available through usage. Early-stage deployments or low-volume languages may not see the same gains as high-volume, well-reviewed content. Teams may still need style guides, terminology management, and reviewer effort to reach required quality.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Business | Contact us / Custom pricing | For growing global content teams; Trusted AI Platform, Business connectors, Contextual AI models, Agents and Copilots. Source: Lilt pricing page. |
| Enterprise | Contact us / Custom pricing | Advanced security and performance; all Business features plus Human Expert Verification, Enterprise Connectors, API access, SSO/SAML, 99.9% uptime, managed deployment, custom invoicing. Source: Lilt pricing page. |
| Government | Contact us / Custom pricing | For Defense, Intelligence, and Public Sector; includes Enterprise features plus cloud/on-prem/air-gapped options, IL6+ compliance, on-site cleared support, federal-grade reliability. Source: Lilt pricing page. |
Seller details
Lilt, Inc.
San Francisco, CA, USA
2015
Private
https://lilt.com/
https://x.com/liltinc
https://www.linkedin.com/company/lilt/