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One API to extract structured data from PDFs and images.

Pay only for pages that are 100% accurate. If we get anything wrong, you don't pay for that page.

Extracted Data · Invoice conf 0.99
1
2 ·· "document_type" "invoice"
3 ·· "confidence" 0.99
4 ·· "invoice_number" "BORD_282_2025/0006806"
5 ·· "vendor" "IKEA IBÉRICA S.A."
6 ·· "vendor_tax_id" "A24812518"
7 ·· "buyer" "Windel SL"
8 ·· "buyer_tax_id" "B-58372914"
9 ·· "issue_date" "2025-08-29"
10 ·· "receipt_ref" "SIM_282_2025/1083480"
11 ·· "line_items" 16
12 ·· "subtotal" 501.36
13 ·· "vat_21pct" 105.28
14 ·· "total" 606.64
15 ·· "currency" "EUR"
16 ·· "status" "PAGADO"
17
1
2 ·· "document_type" "payslip"
3 ·· "confidence" 0.98
4 ·· "period" "2023-11"
5 ·· "employer" "EMPRESA"
6 ·· "employee_nif" "01312819M"
7 ·· "employee_ss_id" "8251463D"
8 ·· "salary_base" 1363.95
9 ·· "gross_pay" 1875.81
10 ·· "irpf_rate" 0.135
11 ·· "irpf_amount" 253.23
12 ·· "ss_deductions" 91.26
13 ·· "net_pay" 1501.58
14 ·· "currency" "EUR"
15 ·· "iban" "ES44 2100 0418 4502 0005 2346"
16
1
2 ·· "document_type" "purchase_order"
3 ·· "confidence" 0.97
4 ·· "po_number" "PO-00-2025"
5 ·· "date" "2025-04-24"
6 ·· "status" "closed_completed"
7 ·· "vendor" "Wendel Harris"
8 ·· "vendor_terms" "Net 30 Days"
9 ·· "department" "IT Department"
10 ·· "approved_by" "Patrick Smith"
11 ·· "delivery_date" "2025-04-24"
12 ·· "line_items" 7
13 ·· "total" 234.47
14 ·· "currency" "USD"
15
1
2 ·· "document_type" "receipt"
3 ·· "confidence" 0.99
4 ·· "merchant" "REAL SEAFOOD"
5 ·· "date" "2021-05-29"
6 ·· "time" "17:55"
7 ·· "table" "707"
8 ·· "party_size" 4
9 ·· "server" "LEILANI J"
10 ·· "line_items" 10
11 ·· "food_total" 142.55
12 ·· "subtotal" 131.00
13 ·· "tax" 10.86
14 ·· "total" 191.86
15 ·· "currency" "USD"
16

Powering document extraction for teams at

The document infrastructure
that just works.

Other solutions give you a toolbox. Invofox gives you results. The perfect pipelines you'd spend a year building and a team maintaining, ready from day one.

Data extraction has no shortcuts.
You need a pipeline.

Great document processing is not just a feature. It's a complex infrastructure that is ready for edge-cases, scales and learns from feedback.

01 1
Upload a document Send any PDF, image or scanned file
You
02
File intake & integrity Handle corrupt and password protected files
Ingestion
03
Pre-processing Deskew, denoise, and sharpen for clean OCR.
Parsing
04
Dual-pass OCR Two passes: one reads the text, one maps the layout
Parsing
05
Page splitting Separate multi-document files into subdocuments
Parsing
06
Classification Index and categorize each document
Parsing
07
Format conversion Get your documents LLM-ready
Parsing
08
Multi-step extraction AI models identify every relevant value
Extraction
09
Tables & line items Reconstruct tables, reconcile subtotals to totals
Extraction
10
Entity normalization Normalize dates, currencies, numbers and tax codes
Extraction
11
Schema mapping Map raw fields into your exact data model
Extraction
12
Cross-field validation Check amounts and business rules
Extraction
13
Confidence scoring Build field and document level confidence scores
Extraction
14
Agentic review Re-check and self-correct low confidence fields
Delivery
15
Webhook delivery Send final result to your system
Delivery
16
Detect edge cases Flag docs to avoid errors and get feedback
Improve
17
Learn from feedback Improve results with a single API call
Improve
18
Pipeline tuning Continuous iteration on real docs and corrections
Improve
19
Live upgrades Roll out new AI models
Improve
20
Avoid regressions Catch accuracy drops on every change
Improve
21
Scaling & throughput Queues, autoscaling and peak-traffic handling
Infra
22
Monitoring & drift Real-time alerts on latency, accuracy and format drift
Infra
23
Zero-retention Documents deleted after delivery, never stored
Infra
24 3
Receive JSON Clean, validated, schema-mapped structured data
You
INVOFOX
Everything between
upload and JSON.
1endpoint
99%+accuracy
Pipeline Infrastructure Improvements New cases Validation

Ship in
one afternoon.

Integrate one endpoint into your codebase. Get back clean, structured JSON from any document, without building the extraction pipeline, training models, or handling edge cases. Ever.

bash — invofox
$ curl -X POST \
··https://api.invofox.com/v1/extract \
··-H "Authorization: Bearer $KEY" \
··-F "file=@invoice.pdf"
200 OK · 1.2s
{
··"type": "invoice",
··"vendor": "Meridian Ltd",
··"total": 6720.00,
··"confidence": 0.99
}

Battle-tested across continents,
hundreds of teams run on Invofox.

Invofox runs in production today across the US, EU and LATAM — for fintechs, marketplaces, logistics ops, accounting platforms and top enterprises. Here's a snapshot of what flows through every day.

Live
// overview

Production metrics

Today
743,291
Documents processed
Across all docs
99.2%
Average accuracy
SLA-bound
End-to-end
<2s
Average response time
p50 0.8s
p95 1.4s
p99 1.9s
Out of the box
200+
Document formats
PDF JPG PNG TIFF HEIC +195
Recent extractions streaming
PDF
invoice_8237.pdf Invoice
9.2s done
PDF
bundle_482.pdf Multi-doc
Split into 5 11.4s done
PNG
payslip_2104.png Payslip
8.1s done
PDF
statement_5821.pdf Bank statement
12.7s done
JPG
invoice_8238.jpg Invoice
processing
PDF
batch_201.pdf Multi-doc
Split into 3 10.5s done
PNG
receipt_2298.png Receipt
7.8s done
Splitter active
2,847
multi-doc bundles split today
+12% vs yesterday
12
Recent splits
bundle_482.pdf → 5 documents
batch_201.pdf → 3 documents
package_009.pdf → 4 documents
Try it now No card or email required.

No empty promises.
We deliver results.

+99% accuracy guaranteed

Top results are part of our SLAs.

Accuracy targets are part of our contractual obligations.

$0 if we make a mistake

Pay only for correct data.

Every document where a mistake is reported through our API is automatically credited back. You never pay for an error.

Pay per page. No credits, no math. See pricing

SLA tier available on plans processing 1M+ documents per year.

Why we built Invofox.

A short look at the problem we got tired of seeing — and how we set out to fix it. Straight from the founders.

Trust, designed in. Verified out.

Pick a certification to see the seal. Watch a real request leave its zero-retention trail.

Compliance
SOC 2 badge
SOC 2 Active
Type II · audited annually by AICPA

Our systems and controls are independently audited every year against the AICPA Trust Services Criteria — security, availability, processing integrity, confidentiality, and privacy.

Zero-retention

Process. Deliver. Erase.

Documents deleted right after delivery. No copies, no backups, no logs.

No copies No backups No logs
Self-hosted

Run it on your servers.

Deploy Invofox inside your own infrastructure. Same API, your perimeter.

On-prem VPC Air-gap
Want the full report? Audits, policies, sub-processors and the latest pen-test summary live in our trust center. Open trust center

Frequently asked questions.

~/invofox / faq.json
accuracy.json
1
2 ··"question" "How accurate is Invofox?"
3
4 ··"answer" "Accuracy thresholds are guaranteed in your SLA, per document type and per field. Every extraction is validated before it counts toward your bill. The feedback loop means accuracy improves over time as your team flags edge cases. Stable use cases reach up to 99%."
5
Accuracy accuracy.json
main 0 errors 0 warnings UTF-8 LF JSON

Still have questions? Talk to us