By document type
Invoices, contracts, tax forms (W-9), bills of lading, mortgage and loan applications, credit notes, delivery notes…
95% 100%
- Invoices 99.6%
- Contracts 97.2%
- W-9 forms 99.9%
- Bills of lading 98.4%
- Credit notes 99.1%
Proof, not promises.
During a proof of concept, Invofox delivers a detailed performance report showing exactly how your documents perform — across accuracy, errors, vendors, processing times, precision and real-world edge cases.
Powering document extraction for teams at
How we turn accuracy into evidence.
From the first documents processed, accuracy is never a vague promise — it's a defined, measured outcome.
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Sample + ground truth
You share a small representative sample of your documents with the corresponding ground truth for evaluation.
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Define success upfront
We analyze the sample and schema, split it into parts, and set targets: accuracy thresholds, confidence levels and evaluation criteria.
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Continuous improvement loop
We iterate to refine the pipeline, adjust models and fine-tune the solution for maximum accuracy.
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Process the full volume
We run thousands of documents and pages — not cherry-picked examples — through the production pipeline.
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Deliver the performance report
A clear, visual breakdown of results you can confidently share with engineering, ops and exec stakeholders.
A report built for real decisions.
Designed to be shared internally — with technical teams, operators and executives — without additional explanation. Every report includes:
Invofox · Performance Report
// overall accuracy
99.4% +0.7pp vs Q2
field-level · ground-truth validated Q1 Q2 Q3
- P50 8.0s
- P95 10.5s
- P99 12.0s
100%
- Missing info 38%
- Ambiguous 27%
- Low confidence 22%
- Edge case 13%
- Pages 99.2%
- Documents 99.4%
- Splits 98.7%
- Classify 99.1%
- Overall accuracy (field-level and document-level)
- Processing time benchmarks (P95 / P99)
- Error distribution and failure types
- Missing or low-confidence fields
- Confidence thresholds and warnings
- Page-level and document-level performance
- Splitter and classifier performance
- Custom analysis relevant to your use case
All results are calculated using a defined evaluation methodology based on ground-truth comparisons — and shared transparently.
Understand performance at the level that matters.
Instead of a single average number, Invofox breaks results down in ways that reflect real production complexity — so your team focuses optimization where it has the greatest impact.
By document source
Identify which layouts represent the most volume or variability — vendors for invoices, jurisdictions for standard forms, etc.
95% 100%
- Vendor A · NL 99.4%
- Vendor B · US-CA 98.1%
- Vendor C · DE 99.6%
- Vendor D · ES 97.8%
- Vendor E · UK 99.2%
Errors aren't hidden — they're explained.
In real production, a percentage of documents will always present issues: poor image quality, missing data, corrupted files, highly inconsistent layouts. Reaching 100% automation isn't feasible regardless of the model. In high-volume deployments roughly 5–10% of documents fall into this category due to data-quality constraints alone.
5–10% flagged for review in high-volume deployments
- Missing information 38%
Required fields not present in the source document.
- Ambiguous layouts 27%
Multiple plausible interpretations for the same value.
- Low-confidence extractions 22%
Confidence under threshold — flagged for review.
- True edge cases 13%
Genuinely unusual cases the model hasn't seen yet.
Each report tells you exactly what failed, why, how often — and where action will have the biggest impact: feedback, threshold tuning, additional data or pipeline adjustments.
Frequently asked questions.
scope.json
1 {
2 ··"question": "What's included in a performance report?",
3
4 ··"answer": "Field-level and document-level accuracy, P95/P99 processing benchmarks, error distribution by failure type, missing or low-confidence fields, confidence thresholds, splitter/classifier performance and any custom analysis specific to your workflow."
5 }
Still have questions? Talk to us