Unbabel

Human-in-the-loop translation combining machine translation with human post-editing, priced per word rather than per character

As of 1 September 2026, Unbabel's pricing is not published; the vendor quotes on request. A managed translation service that blends machine translation with human post-editors, priced per word like a traditional translation service rather than per character like Google, Microsoft or Amazon’s raw MT APIs. Softwr lists it under Translation. Unbabel is made by Unbabel Inc., available on Web.

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Overview

What Unbabel does

Unbabel provides translation for customer support and enterprise content by combining machine translation output with a network of human post-editors who review and correct it before delivery, aimed at businesses that need translation accurate enough for customer-facing use but cannot afford fully human translation at scale. It offers different quality tiers spanning raw machine translation, machine translation with light human post-editing, and full human translation, priced differently by the level of human involvement. The structural distinction from Google, Microsoft or Amazon’s APIs is the pricing unit and the inclusion of human review: those cloud APIs charge per character for pure machine output with no human in the loop, while Unbabel charges per word and folds in human post-editing as part of the product, which is why it should not be compared to raw MT APIs as a peer. Enterprise-tier per-word rates have been reported starting from as low as $0.00015 per word, but that rate requires a minimum annual commitment reported around $120,000, meaning the headline per-word price is only relevant to a buyer already committing to substantial volume. Buyers are enterprises running multilingual customer support operations who need translation accurate enough to send to customers without a fully human translation team, and who have the volume to justify a six-figure annual commitment. The trade-off is that smaller businesses without that volume get comparatively little transparency into what they would actually pay, since public per-word rates are effectively enterprise-tier numbers.

What people use it for

A multilingual customer support operation needing translated tickets accurate enough to send directly to customers
An enterprise with predictable, high-volume support translation needs able to justify a six-figure annual commitment
A company wanting different quality tiers (raw MT versus human post-edited) depending on the sensitivity of the content
A business integrating translation directly into an existing helpdesk platform rather than building a custom pipeline

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Unbabel.

The attractive low per-word rate requires a minimum annual commitment reported around $120,000, which prices out most small and mid-sized businesses.
It should not be compared directly to per-character machine translation APIs, since the pricing unit, inclusion of human review and use case are all different, and doing so understates the real cost.
Turnaround time is inherently slower than pure machine translation, since human post-editors are part of the pipeline, which matters for real-time chat use cases.
Public pricing detail is limited outside the enterprise tier, so smaller buyers get little transparency into what they would actually pay before a sales conversation.
Quality and turnaround depend partly on the availability of the human post-editor network for a given language pair, which can vary for less common languages.

Cross-shopped

What people choose instead of Unbabel

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

Unbabelvs
Gengo
Gengo: If you want per-word human translation without Unbabel’s enterprise minimum commitment
Unbabelvs
Google Translate
Google Translate: If you only need raw machine translation without human post-editing and want per-character API pricing instead

Pricing

What Unbabel costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

Unbabel Enterprise

On request

Per-word pricing reported from around $0.00015/word at top volume
Minimum annual commitment reported around $120,000
Rate depends on volume, language pairs, turnaround and quality tier

Capabilities

Features

Machine translation with human post-editing
Blended MT plus human review pipeline for customer-facing accuracy
Multiple quality tiers
Raw MT, MT with light post-edit, and full human translation options
Customer support integration
Direct integration into helpdesk and CRM platforms for translated ticket handling
Translation quality scoring
Automated and human quality assessment feeding back into the MT models used
Human translator network
A distributed network of freelance post-editors and translators
Enterprise reporting
Volume, quality and turnaround analytics for multilingual support operations

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

Is Unbabel comparable to Google Translate’s API on price?

No, they are different products: Unbabel is a managed service billed per word with human post-editing included, while Google’s API is raw machine translation billed per character.

What is the minimum commitment?

Enterprise pricing has been reported as requiring a minimum annual commitment around $120,000, which is a meaningful barrier for smaller buyers.

Does Unbabel offer fully human translation?

Yes, alongside raw machine translation and MT-plus-post-edit tiers, priced differently by the level of human involvement.

Keep looking

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Softwr does not host reviews and shows no star rating for Unbabel, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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