AI Pipeline

Native Crowdin AI integrations often suffer from "prompt overload" - when an LLM is given too many instructions (glossaries, style guides, formatting rules, and translation tasks) simultaneously, it tends to lose focus, ignore constraints, or hallucinate.

AI Pipeline solves this by breaking the translation process into a deterministic sequence of focused tasks. Instead of one complex request, the AI performs translation, verification, and self-correction in separate, manageable steps.

Note: This integration processes translations through multiple sequential steps. It is significantly slower than native AI translation and is designed for workflows where maximum translation quality is more important than speed.

How It Works

1. Installation & Setup

After installing the app, it registers as a standard AI Provider within your organization. To configure your first pipeline:

1. Navigate to the Prompts tab in your Crowdin project or organization settings.
2. Click New Prompt.
3. Crucial: Select "AI Pipeline" from the prompt editor section.

Note: We do not recommend using the AI Pipeline for AI suggestions in the editor. It is recommended that it is used as a prompt for pre-translations instead.

2. Building Your Workflow

When creating an AI flow, you can either select a pre-configured template (such as "Document translation") or build a custom flow using the visual node builder.

By chaining specific nodes, you can achieve granular control:

• Context Extraction: Analyze screenshots or source files before translating.
• Self-Correction: Ask the LLM to verify its own output against constraints in a second pass.
• File Consistency: Ensure a new paragraph matches the tone and flow of existing translations in the file—critical for continuous localization.

3. Execution & Debugging

This app includes a dedicated debugging module. If the AI is not delivering the expected result, navigate to Project → Tools → AI Pipeline Logs.

Here, you can inspect the specific "Input" and "Output" of every single step in the chain. This "white-box" approach allows you to see exactly where a hallucination occurred or where a constraint was ignored, allowing for precise tuning of your prompts.

Key Benefits

• Eliminates Prompt Overload – Breaking tasks down reduces the chance of the AI ignoring instructions.
• Self-Correcting – The AI can catch and fix its own hallucinations before the translation reaches you.
• Context Aware – Features like File Consistency Checks ensure new strings fit seamlessly with old translations.
• Transparent Debugging – Full visibility into every step of the chain via the Tools module.
• Customizable – Build architectures specific to your content type (e.g., UI strings vs. Help Center articles).