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How to Migrate from MachineTranslation to DeepL (Step-by-Step)

Last updated: April 2026

While MachineTranslation excels at comparing multiple engines, you might migrate to DeepL for superior translation quality, document handling capabilities, and a more streamlined workflow. DeepL's neural network technology consistently outperforms competitors in accuracy and nuance preservation, making it ideal for professional translations. This guide covers account setup, data migration, feature adaptation, and team onboarding. You'll learn how to transition from a comparison-focused tool to a production-ready translation solution while maintaining productivity during the switch.

Estimated Timeline

solo user

2-4 hours for setup and workflow adaptation

small team

2-3 days including training and parallel testing

enterprise

1-2 weeks for full deployment, API integration, and process documentation

Migration Steps

Evaluate Your Translation Needs

easy

Set Up Your DeepL Account

easy

Export Translation History and Data

medium

Recreate Key Workflows in DeepL

medium

Transition Team Members and Integrations

hard

Implement Quality Assurance Processes

medium

Optimize and Scale Usage

medium

Feature Mapping

MachineTranslation	DeepL Equivalent	Notes
Multiple engine comparison	Alternative translation suggestions	DeepL shows multiple phrasing options per translation rather than comparing different engines
Side-by-side translation results	Single high-quality translation output	DeepL focuses on providing the best possible translation rather than comparison views
Browser-based translation interface	Desktop application + browser interface	DeepL offers both web and desktop options with drag-and-drop document support
Text-only translation	Document translation (PDF, Word, PPT)	DeepL preserves formatting when translating entire documents
Freemium model with comparison focus	Freemium model with quality focus	Both offer free tiers but with different primary value propositions
Aggregated translation providers	Proprietary neural network engine	DeepL uses its own advanced AI rather than aggregating others' engines
Quick quality assessment tool	Glossary and terminology management	DeepL provides tools for consistency rather than comparison-based assessment

Data Transfer Guide

MachineTranslation doesn't offer bulk data export, so you'll need to manually save important translations. Copy frequently used translations to a spreadsheet with columns for source text, translated text, language pair, and context notes. For DeepL import, create glossaries by uploading CSV files with source and target terms through the DeepL website or API. Document translations can't be transferred directly, but you can re-translate source files using DeepL's document upload feature. Save any quality comparison notes from MachineTranslation as reference materials rather than attempting to import them as translation memory.

Frequently Asked Questions

Can I transfer my data from MachineTranslation to DeepL?+

No direct data transfer exists since MachineTranslation doesn't store translation history. You'll need to manually save important translations and recreate glossaries in DeepL's format. Export any comparison results as reference materials rather than attempting automated migration.

How long does migration take?+

For individual users, expect 2-4 hours to set up accounts and adapt workflows. Teams need 2-3 days for training and parallel testing. Enterprise migrations with API integrations typically require 1-2 weeks for full deployment and process documentation.

Will I lose any features switching to DeepL?+

You'll lose side-by-side engine comparison, which is MachineTranslation's core feature. However, you gain superior translation quality, document handling, and glossary management. DeepL provides alternative phrasing suggestions rather than multi-engine comparisons.

Can I use both tools during migration?+

Yes, we recommend a parallel testing period of 1-2 weeks. Use both tools for critical translations to compare DeepL's output against multiple engines. This builds confidence in DeepL's quality while maintaining productivity during transition.

Is DeepL cheaper than MachineTranslation?+

Both offer free tiers, but DeepL Pro starts at $8.99/month for individuals. MachineTranslation's paid plans focus on comparison features while DeepL charges for volume and advanced features. For production translation needs, DeepL often provides better value per quality unit.