Extract structured JSON from unstructured text

Run offline batch extraction over a set of documents or text records, producing structured JSON output per a defined schema using an open model.

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Estimated $0.002–$0.02 per record · Scales with record count and length — roughly 200–800 records/min

What inputs you need

Text/document files or JSONL of records
Target JSON schema
Model choice

What Badgr returns

JSONL of extracted structured records
Per-record success/failure log
Single receipt on completion

Recommended GPU routes

A100 40GB L40S 48GB A40 48GB

Estimated cost: $0.002–$0.02 per record · Estimated runtime: Scales with record count and length — roughly 200–800 records/min

Example command

badgr run "python batch_extract.py --input records.jsonl --schema schema.json" \
  --gpu A100_40GB \
  --max-cost 15 \
  --max-runtime 90

Common setup failures Badgr avoids

Model returns malformed JSON on edge-case inputs — output is validated against the schema per record, and failures are logged instead of silently dropped.

Nested or deeply structured schemas time out per-record — the extraction prompt is split into sub-fields for complex schemas instead of one large generation call.

Ready to run this?

Launch from the dashboard, CLI, or Compute API. Max-cost protection included.

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