MEANING AND COMPLETENESS
Correct mistranslations, omissions, unsupported additions and ambiguous wording that a fluent-sounding AI draft can otherwise hide.
Your project will be done quickly and professionaly
AI Post-Editing — make AI translation ready for real-world use
Professional Linguists Correct What AI Gets Wrong, Combining Machine Translation With Terminology Control And Structured Quality Assurance — So You Scale Multilingual Content Without Translating It Twice.
TERMINOLOGY & STYLE
ENFORCEMENT
SMART LQA
MONITORING
SUBJECT-MATTER
LINGUISTS
MTPE
(FULL & LIGHT)
ISO
CERTIFIED QUALITY PROCESSES
100+
LANGUAGES
AI creates speed. Post-editing makes the output usable
Raw AI translation can look fluent while still containing errors that affect customers, products and business decisions — reversed instructions, dropped qualifiers, invented details, terminology that does not match what your teams already approved.
Janus AI Post-Editing focuses human expertise only where AI output actually needs it, turning a fast machine draft into the quality level agreed for your project — without paying to translate the same content twice.
What we fix
TERMINOLOGY AND CONSISTENCY
Apply approved product names, technical terms and recurring language across the full content set, aligned to your existing termbase.
READABILITY AND TONE
Remove awkward or machine-like phrasing and adapt the text to the intended audience and channel.
FULL OR LIGHT POST-EDITING
Review depth is scoped to the intended use of the content — full post-editing for publication-grade material, light post-editing for internal or high-volume, lower-risk content.
FUNCTIONAL DETAILS
Check numbers, units, tags, links, placeholders and other project-specific elements within the agreed scope, so the file is technically ready, not just linguistically correct.
Send a representative sample of your AI-translated content. We will assess quality against your intended use and recommend the right level of post-editing.
How AI post-editing works at Janus
SAMPLE-BASED SCOPING
We start from a real sample of your AI output rather than a generic estimate, so scope, pricing and turnaround reflect the actual quality gap.
EDITING TO AN AGREED STANDARD
Linguists work against defined quality criteria and your terminology, not a personal judgment of “good enough”.
STRUCTURED QA, NOT SPOT CHECKS
Smart LQA tracks error categories and severity across the project, so recurring issues are identified and corrected at the source, not just in the current batch.
SUBJECT-MATTER LINGUISTS
Editors are assigned by domain expertise — technical, medical, legal, marketing — so post-editing decisions reflect real understanding of the content, not generic language correction.
Why enterprise teams choose Janus for AI post-editing
AI Post-Editing In Practice
Industry:
Global manufacturing enterprise.
Challenge:
High-volume technical documentation translated with machine translation contained safety-relevant errors that surface-level proofreading had missed.
Solution:
Full post-editing scoped by content risk, with terminology enforcement and Smart LQA tracking across all target languages.
Result:
Safety-critical errors corrected before publication, with a documented quality record supporting the client’s compliance requirements.
- Human effort focused on the errors that actually affect meaning, compliance and brand — not a flat re-translation of every sentence
- Smart LQA quality monitoring applied consistently across post-editing projects
- Terminology and style guides enforced from your existing translation memory and glossaries
- Subject-matter linguists assigned by domain, not general-purpose editors
- ISO-certified quality processes and full production capacity across 100+ languages
- One partner managing AI translation, post-editing and quality validation together, so nothing falls between separate suppliers