Quality Scores

Overview

Every processed document receives a quality score (0–100) and a grade (A–D). These help you filter high-quality records and identify documents that may need attention before inclusion in a dataset.

Quality grades

Grade	Score range	What it means
A	85–100	High quality — key fields extracted, low noise
B	65–84	Good — minor gaps or slight noise
C	45–64	Moderate — notable extraction issues or OCR problems
D	0–44	Low — significant problems; review before using

Factors that affect the score

Field fill rate — How many expected fields for the document type were successfully extracted
Noise ratio — Proportion of the document that is non-informative content (e.g., page numbers, repeated headers)
OCR confidence — For scanned documents, a low OCR confidence score caps the grade at C

Accessing quality data

Quality information is available in the job response:

{
  "processing_summary": {
    "quality": {
      "score": 91,
      "grade": "A",
      "field_fill_rate": 0.94,
      "ocr_confidence": null
    }
  }
}

ocr_confidence is null when OCR was not used (text-based PDF or DOCX).

Quality trend

Track quality over time on the Usage → Quality tab in the platform, or via the API:

curl "https://api.flexorch.com/v1/usage/quality-trend?period=30d" \
  -H "X-API-KEY: dfx_your_key_here"

Filtering by grade

Use the platform’s Datasets → Ready to Build tab to filter completed jobs by grade before building a dataset. Or filter in your own pipeline:

from flexorch_sdk import FlexOrch

client = FlexOrch(api_key="dfx_your_key_here")

# Only include grade A and B jobs in the dataset
good_jobs = [j for j in client.jobs.list() if j.quality_grade in ("A", "B")]
dataset = client.datasets.build(job_ids=[j.id for j in good_jobs])

Leaving feedback

If a result looks wrong, you can submit feedback directly from the Jobs page (thumbs up / thumbs down) or via the API:

curl -X POST "https://api.flexorch.com/v1/jobs/{id}/feedback" \
  -H "X-API-KEY: dfx_your_key_here" \
  -H "Content-Type: application/json" \
  -d '{"rating": "negative", "issue": "wrong_fields"}'

Get Started

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Advanced

Overview

Quality grades

Factors that affect the score

Accessing quality data

Quality trend

Filtering by grade

Leaving feedback

​Overview

​Quality grades

​Factors that affect the score

​Accessing quality data

​Quality trend

​Filtering by grade

​Leaving feedback

Overview

Quality grades

Factors that affect the score

Accessing quality data

Quality trend

Filtering by grade

Leaving feedback