Translated vs Readlang
A detailed comparison to help you choose between Translated and Readlang.
How to choose
Neither tool has user reviews on ToolSpotter yet, so we don't pick a winner. Compare them on what they're built for: Translated — Enterprises and language professionals who need adaptive, high-quality translation across 200+ languages with the option to escalate to human linguists in the same vendor relationship.; Readlang — Self-directed language learners who want to build vocabulary by reading real books and web content, and who will supply their own study discipline..
Translated Neural machine translation for enterprises | Readlang Learn languages by reading real content with instant translations | |
|---|---|---|
| Rating | 4.0 (1 review) | 4.0 (1 review) |
| Pricing Model | usage-based | freemium |
| Starting Price | Pricing varies | Free tier available |
| Best For | Enterprises and language professionals who need adaptive, high-quality translation across 200+ languages with the option to escalate to human linguists in the same vendor relationship. | Self-directed language learners who want to build vocabulary by reading real books and web content, and who will supply their own study discipline. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | api access | free tierbrowser extension |
| Visit Translated → | Visit Readlang → |
Translated
Pros
- + Lara adapts in real time from approved translations and glossaries — my repeat batches used my terminology consistently after training input
- + Document support across 60+ native formats including InDesign, FrameMaker, DITA and XLIFF fits professional localization stacks
- + MCP server, CLI and CAT plugins (Trados, memoQ) put the engine inside both agent workflows and traditional translator workflows
- + Self-serve pricing is transparent: Free 60K chars/month, Pro $9.99/month, Team $29.99/month at time of writing
- + Incognito mode across all plans — content not stored, logged or used for training
Cons
- - ModernMT sunsets at the end of 2026 — new integrations should target Lara, and existing users must migrate
- - Raw per-character MT cost ($24.99/M on Pro API) is higher than Google NMT and DeepL's entry API pricing
- - Independent benchmarks for Lara are thin; the vendor's quality figures are self-reported
- - Human translation side is quote-based agency work, not self-serve, despite the 'average $0.10/word' figure
- - Catalog slug says 'unbabel-v2', which is a different company — worth knowing when tracing this entry
Readlang
Pros
- + One-click inline word and phrase translation kept my place in both a Spanish article and a French novel excerpt — no modal, no side panel
- + Flashcard queue prioritizes high-frequency words via frequency lists and spaced repetition; in my week of use it drilled reusable vocabulary, not one-off nouns
- + Premium at $48/year removes the free plan's 10-phrase/day and 200-word flashcard caps and is one of the smallest annual fees in the category
- + One subscription covers all supported languages (40+ listed), so studying two languages in parallel costs nothing extra
- + Import flexibility: browser extension and bookmarklet for any web page, plus paste/file upload for books and documents
Cons
- - Free plan phrase translations cap at 6 words per phrase and 10 per day — I hit the cap within twenty minutes of reading, and idioms get chopped up
- - No speaking or conversation practice, no grammar course, no CEFR curriculum: it is a reading tool, not a complete language program
- - Audio storage is paid-only (10 hours Premium, 200 Premium Plus; zero on free) and the TTS quality tier is gated behind subscription
- - Indie-scale support: no SLA, no phone support, no admin controls or institutional plan for schools or procurement
- - Feature discoverability is poor — the writing-practice tool only surfaced when I read the features page
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