| DESCRIPTION / SKU | QTY | UNIT | TOTAL |
|---|---|---|---|
| APX-USB-C-100W GaN Charger | 500 | $18.40 | $9,200.00 |
| APX-CBL-2M-USB Lightning | 1,200 | $4.20 | $5,040.00 |
| APX-HUB-7P-USB3 Hub | 300 | $22.10 | $6,630.00 |
Average manual processing time vs. Parse extraction latency — same document, same fields.
Accuracy on handwritten lot numbers and degraded scan quality. Legacy OCR tops out at 94%.
Finance teams at marketplace aggregators closing books using Parse vs. manual extraction.
Spec Sheet.
Eight metrics that operations teams actually benchmark. Each row eliminates an alternative. Read to the bottom.
| Metric | Parsev2.4 | Manual Entry | Legacy OCR | Generic AI |
|---|---|---|---|---|
Fields per second Extraction throughput on a standard commercial invoice | 47.2fields/sec | 0.4fields/sec | 12.1fields/sec | 8.3fields/sec |
Handwritten lot accuracy Accuracy on handwritten lot numbers and annotations | 99.1%avg | 97.2%human error | 61.4%fails on cursive | 83.7%prompt-dependent |
API response latency p95 latency from document upload to structured JSON response | 1.4sp95 | N/A | 3.2sp95 | 8.9sp95 |
Multi-currency parsing Native support for USD, EUR, GBP, CNY, JPY, INR, and 40+ currencies | Yes | Yes | No | Partialprompt required |
Supported document types Out-of-the-box document schemas without custom training | 12types | Anyunlimited | 3types | 5types |
HS code classification Automatic HS code extraction and validation against customs tariff schedules | Yes | No | No | Partialno validation |
Bulk processing (docs/hr) Sustained throughput on batches of 1,000+ documents | 18,000docs/hr | 14docs/hr | 4,200docs/hr | 400rate-limited |
Confidence scoring Per-field confidence scores with anomaly flagging | Yes | No | Global onlyno per-field | Partialinconsistent |
Benchmarks conducted on 10,000 document sample set. Manual entry benchmarked against trained data entry operators. Legacy OCR tested against ABBYY FlexiCapture. Generic AI tested against GPT-4o with document extraction prompts. All results independently verified, Feb 2026.
12 document types. Zero configuration.
Every schema ships pre-trained. Upload any of these document types and Parse extracts structured data immediately — no templates, no field mapping, no training data required.
Commercial Invoice
Vendor name, line items, HS codes, tax jurisdiction, multi-currency totals
Purchase Order
SKU catalog matching, quantity reconciliation, delivery terms, buyer/seller IDs
Bill of Lading
Carrier codes, port of loading/discharge, container numbers, SCAC codes
Customs CN22 / CN23
Declared value, country of origin, HS classification, prohibited goods flags
Packing Slip
Carton counts, weight/dimensions, SKU-to-box mapping, lot traceability
Advanced Ship Notice
Ship date, carrier, tracking, line-item quantities, PO cross-reference
Customs Entry Summary
Entry type, duty calculations, CBP bond references, FDA/FCC flags
Freight Invoice
Carrier charges, accessorial fees, fuel surcharges, pro number extraction
Ops teams that stopped touching documents.
“We were processing 4,000 invoices a month with a three-person AP team. Parse cut that headcount requirement by two and closed our monthly books six days earlier. The HS code classification alone saved us $140K in misclassification penalties last year.”
“We reconcile shipment docs across DHL, FedEx Freight, XPO, and three regional carriers. Every carrier has a different BOL format. Parse handles all of them with the same API call. Our team stopped touching documents entirely for standard shipments.”
“Customs compliance was our bottleneck. CN22s from our Shopify orders were being manually keyed by someone in Manila at $12/hour. Parse processes 800 of them per hour with 97.9% accuracy and flags anomalies automatically. It's not even close.”
Your documents are the proof.
Upload a real invoice, PO, or customs declaration. Watch Parse extract every field in under 15 seconds. No account required. No credit card. Just your data.
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