Multilingual localisation platform
Tafsiri
Translation workflow platform for multilingual localisation and quality control
Overview
Tafsiri is a multilingual localisation system for keywords, sentences, and official project dictionaries. Translators work in exclusive 300-item batches, proofreaders validate the sample review path, and approved work is stored in translation memory and the term base.
The system supports end-to-end localisation from project import to approved delivery. It combines translation memory, dictionary QA, batch exclusivity rules, proofreader review, and delivery export tools to keep translation quality consistent while protecting contributor workflows.
Key features
Exclusive translation batches of 300 items with proofreader sample review.
Keyword and sentence workspaces with QA, TM suggestions, and concordance search.
Versioned dictionary and term-base checks before final submission.
10% sample review by proofreaders with edit-approve or reject decisions.
Delivery exports, monitoring, payroll calculation, and contributor performance reporting.
Users of the system
Translator
Claim a language batch, draft translations, run QA checks, and submit completed work.
Proofreader
Review the 30-item sample, approve, edit-approve, or reject with LQA reasons.
Language lead
Activate users, resolve disputes, manage QA exceptions, and monitor language teams.
Admin
Create projects, import files, manage users, export deliverables, and oversee batch health.
Use cases
- Create a project and import keyword or sentence files.
- Activate users and assign them to languages before work starts.
- Claim exclusive 300-item packs and translate in the keyword or sentence workspace.
- Run QA checks and use translation memory to improve consistency.
- Submit a batch for proofreader sample review.
- Approve or return the whole batch based on sample outcomes.
Front-end design
- My batches and task-oriented dashboard for workers by role and language.
- Keyword and sentence workspace screens with dictionary hints and QA feedback.
- Sample review screens with approval, edit-approve, and reject actions.
- Admin and lead monitoring views for counts, batch health, and performance.
- Public auth flows for signup, forgot-password, and complete-profile onboarding.
Back-end features
- Next.js 15 app with server actions and authorisation gates before every mutation.
- Supabase Postgres and Storage to maintain structured translation data and revision history.
- Translation memory triggers and dictionary QA checks that prevent silent approval of bad content.
- Role-based access and language scoping across translators, proofreaders, leads, and admins.
- Exports and reports built around approved counts, batch state, and language-specific performance.