Pricing

Boost your Crowdin translation quality with AI automation

Swiftask connects your AI agents to Crowdin to automatically verify the quality of your translated strings. Catch errors before they go live.

Result:

Ensure perfect terminology consistency and drastically reduce manual proofreading time.

Manual proofreading slows down your time-to-market

Quality management in Crowdin is often a bottleneck. Between syntax errors, missing variables, and terminology drift, localization teams spend more time fixing than translating.

Main negative impacts:

Costly linguistic errors: Typos or context errors in your interfaces directly impact brand image and user trust.
Time-consuming QA process: Manually verifying thousands of strings is inefficient, preventing continuous delivery of software updates.
Terminology inconsistency: Without strict control, technical terms vary across languages, creating a fragmented user experience.

Swiftask deploys specialized AI agents that scan your Crowdin projects in real-time. They apply custom QA rules to validate every translation instantly.

BEFORE / AFTER

What changes with Swiftask

Traditional QA Management

A translator submits their work. A project manager must manually check the strings, note errors, and send feedback back. This back-and-forth cycle can take days, delaying your global releases.

QA Management with Swiftask

As soon as a string is translated in Crowdin, the Swiftask AI agent analyzes it instantly. It validates compliance, detects anomalies, and notifies translators in real-time. Quality is ensured continuously.

Deploying automated QA on Crowdin

STEP 1 : AI agent initialization

Set up an agent in Swiftask dedicated to the linguistic verification of your Crowdin projects.

STEP 2 : Crowdin API connection

Authenticate Swiftask with your Crowdin account via a secure API key to access translation projects.

STEP 3 : Validation rule definition

Set quality criteria: glossary compliance, string length, variable formats, and tone of voice.

STEP 4 : Monitoring and feedback

The agent monitors new translations and generates error reports directly in your tracking tools.

Advanced capabilities of your QA agent

The agent analyzes each translation by comparing source and target text, verifying formatting tags, and ensuring adherence to the glossary.

Target connector: The agent performs the right actions in crowdin based on event context.
Automated actions: Automated translation validation. Detection of terminology inconsistencies. Verification of variable placeholders. Quality score generation. Automatic alerts for critical errors.
Native governance: All agent actions are documented, providing full traceability over validation decisions.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-crowdin@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Why automate your Crowdin QA

1. Increased linguistic accuracy

AI detects nuances and subtle errors that standard QA tools miss.

2. Accelerated time-to-market

Eliminate manual proofreading steps and speed up the release of your multilingual content.

3. Global brand consistency

Ensure your technical terminology remains identical across all your target markets.

4. Effortless scalability

Handle growing translation volumes without increasing your QA workload.

5. Seamless integration

Swiftask inserts naturally into your existing CI/CD pipeline via Crowdin.

Data security and compliance

Swiftask applies enterprise-grade security standards for your crowdin automations.

Restricted API access: Swiftask uses secure API access limited only to necessary projects.
Content confidentiality: Your translation data is processed with strict encryption protocols.
Access governance: Precisely control who can configure QA rules within the Swiftask interface.
Validation traceability: Every decision made by the agent is logged in a transparent audit trail.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Measurable impact on your localization

Metric	Before	After
QA validation time	Several days per project	Minutes in continuous flow
Detected error rate	Variable (human-dependent)	Standardized and constant
Correction costs	High (late feedback)	Reduced (immediate detection)
Terminology quality	Poor consistency	Full glossary compliance

Take action with crowdin

Ensure perfect terminology consistency and drastically reduce manual proofreading time.