A collaborative translation platform built for teamwork
Split large files across translators, work simultaneously in one shared project, and move every segment through review and proofreading without merging spreadsheets or chasing versions. Every edit stays visible; approved translations strengthen your memory and terminology for the next project.
- One
- shared project
- Parallel
- translation assignments
- Tracked
- review and approvals
- Reusable
- memory and terminology
Stop turning one translation job into a pile of separate files
Large jobs often get copied into separate documents, emailed to several linguists, and stitched back together before review. That creates duplicate work, terminology drift, unclear ownership, and version-control mistakes. LanguageOps keeps the whole team in one controlled workspace.
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No manual file merging
Divide work by file, range, or assignment while the source structure remains intact. Completed segments come back together in the same project and export to the original format.
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No waiting for the previous translator
Several linguists can translate different parts of the job at the same time, with shared access to project context, translation memory, terminology, comments, and QA.
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No mystery final version
Translation, review, proofreading, and approval happen as explicit stages. Edit history and segment status show what changed, who approved it, and what is ready to deliver.
From one large file to one approved delivery
- Project manager
Prepare and split the work
Upload the source files, attach the client memory and termbase, and divide the job into clear assignments. The team works from the same source instead of creating competing copies.
- Translators
Translate simultaneously
Assign different files or sections to different linguists. Each translator sees the same approved terminology, relevant memory matches, source context, comments, and project instructions while they work.
- Reviewer
Review every hand-off
A second linguist checks meaning, consistency, terminology, tags, and style. Suggested changes and comments stay attached to the segment, creating a clear record instead of another edited attachment.
- Proofreader
Polish and approve
Proofread the complete target text after translation and review. Approve the final segments, run QA, and export the finished file with its structure and formatting preserved.
Every approved choice helps the next person
Collaboration is not only about sharing the workload. It is about turning the team’s decisions into reusable language assets.
Keep a complete edit history
Translation changes, reviewer corrections, comments, and approvals remain traceable. Teams can understand how a segment reached its final form without comparing files by hand.
Save approved translations to memory
Confirmed work updates the translation memory, so future repetitions and close matches are suggested consistently. Draft work stays distinguishable from approved language.
Build terminology together
Translators and reviewers can identify useful terms as they work, add approved source and target terms to the termbase, and make those decisions available across the project.
Resolve questions in context
Discuss a term or segment where the question occurs. Comments, decisions, and revisions stay with the work rather than disappearing into chat threads and email.
Parallel work without losing control
- Shared translation memory and termbases
- File and segment assignments
- Translator, reviewer, and proofreader stages
- Segment comments and edit history
- Approval status and completion tracking
- Terminology and consistency checks
- Automated QA and LQA support
- Original-format export
For jobs too large for one person, or too important for one pass
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Translation agencies
Coordinate project managers, freelance linguists, reviewers, and proofreaders without rebuilding the job at every hand-off.
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In-house localisation teams
Let product, documentation, and language specialists work from shared terminology and a common approval process.
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Large and urgent projects
Divide manuals, websites, catalogues, software strings, and document batches across the team to shorten turnaround time.
Collaborative translation, explained
What is a collaborative translation platform?
Can several translators work on the same project at once?
Can another person review and proofread the translation afterwards?
What happens to approved translations?
Can the team add terminology while translating?
Do split files have to be merged manually at the end?
Give each translator the right work and each reviewer the whole picture
See how LanguageOps can split your next project, coordinate simultaneous translation, and carry approved language into the work that follows.