Go to example tasks
Validate and auto-repair a batch of LLM JSON records
Created by
Dennis
Validate multiple LLM-generated JSON documents against a schema in one run, with deterministic normalization so records with only safely-fixable errors come back fully repaired.
LLM Output Validator: JSON Schema + Repair Hintscodeclouds/llm-output-validator
#
Valid
Error count
Truncated
+2 fieldsTextNumberBooleanListObject
Input
Documents to validate(required):{"name": "Alice", "age": 30, "email": "alice@example.com"}+1
JSON Schema(required)
Max errors per document:20
Apply safe normalization:true
Output fields
#
Valid
Error count
Truncated
Repairable
Errors
Sign up on Apify01
Create your Apify account to access the LLM Output Validator: JSON Schema + Repair Hints.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
