Question 1

What is TableFlow and how does it work?

Accepted Answer

TableFlow is an AI-powered data extraction and automation platform that turns messy documents into structured, usable data. You define a single output template, and TableFlow's AI extracts data from any file format—PDFs, Excel, images, scanned faxes, and more—without per-vendor templates or manual mapping. In summary, you send files via API, email, or SFTP, and TableFlow returns clean, validated data in seconds. Beyond extraction, it handles matching, reconciliation, catalog updates, and ERP syncing automatically.

Question 2

What file formats does TableFlow support?

Accepted Answer

TableFlow processes virtually any document format your team receives. This includes Excel files (with multi-sheet, merged cells, and formula support), CSV, PDF (both text-based and scanned), images, faxes, emails, and handwritten documents. The platform supports over 50 languages and handles low-quality scans that break traditional OCR tools. The key difference is that TableFlow uses vision AI models to read documents the way a person would, understanding context and layout rather than relying on brittle positional rules.

Question 3

How is TableFlow different from traditional OCR or template-based tools?

Accepted Answer

Traditional OCR and template-based tools require you to build and maintain a separate template for every vendor, document layout, or format variation. When a supplier changes their invoice layout, those templates break. TableFlow eliminates this problem entirely—one template handles all vendor formats automatically. The AI understands document context and adapts to layout changes without manual reconfiguration. Teams typically see 80-90% of files processed automatically, with only edge cases routed for human review.

Question 4

How accurate is TableFlow's data extraction?

Accepted Answer

TableFlow achieves 95%+ extraction accuracy through a multi-step verification process. First, AI extracts data from the source document. Then automated validations check totals, cross-reference fields, and flag inconsistencies. Visual attribution shows exactly where each value was extracted from in the original document, making verification fast. For edge cases, human-in-the-loop review ensures nothing slips through. The result: teams go from 12-15% manual error rates to below 2%.

Question 5

What can TableFlow do beyond data extraction?

Accepted Answer

TableFlow handles the full workflow after extraction, not just pulling data from files. This includes matching purchase orders to packing lists, reconciling invoices against rate cards, comparing datasets to find discrepancies, updating product catalogs with new pricing, and syncing results directly to your ERP. For example, one customer uses TableFlow to match orders across multiple buyer POs, detect vendor-specific price changes, and push approved updates to their catalog—all automatically.

Question 6

What systems does TableFlow integrate with?

Accepted Answer

TableFlow integrates with the tools your team already uses. This includes ERP systems like NetSuite, SAP, and Microsoft Dynamics; CRM platforms like Salesforce; cloud storage such as Google Drive, Dropbox, and Box; and general-purpose connections via webhooks, REST API, SFTP, and email ingestion. Data can be exported as CSV, Excel, or EDI format. Most integrations are configured during onboarding and go live within 2-3 weeks.

Question 7

How long does it take to set up TableFlow?

Accepted Answer

Most teams go live within 2-3 weeks. Setup involves defining your output template, adding example files so the AI learns your document types, and configuring any business rules or validations. There is no lengthy IT project or custom development required. TableFlow's team handles onboarding and works with you to tune extraction accuracy for your specific documents. Teams typically see measurable ROI within 8-10 weeks of going live.

Question 8

Is TableFlow secure and compliant?

Accepted Answer

Yes. TableFlow is SOC 2 Type II certified and uses end-to-end encryption for all data in transit and at rest. The platform enforces strict data isolation between customers—your data is never used to train models for other accounts. Automatic data retention and deletion policies ensure compliance with regulatory requirements. TableFlow supports GDPR, HIPAA, and other industry-specific standards.

Question 9

What industries use TableFlow?

Accepted Answer

TableFlow is used across wholesale distribution, retail and e-commerce, manufacturing, financial services, healthcare, and marketplace platforms. Common use cases include invoice processing (10x faster with 95% fewer errors), purchase order and packing list matching (85% reduction in manual work), freight invoice reconciliation ($60K+ annual savings), and product catalog onboarding (hours reduced to minutes). Any team that processes recurring documents from multiple sources is a strong fit.

Question 10

How much does TableFlow cost?

Accepted Answer

TableFlow pricing scales with your document volume and workflow complexity. Most customers see ROI within 8-10 weeks, with annual savings ranging from $25,000 to over $97,000 depending on the use case. One customer reduced freight reconciliation costs by $66,000 per year, and another cut manual work by 90%. Contact our team for a custom quote based on your specific document types and volumes.

fromScanned Packing ListstoValidated Shipments

Go Beyond Data Extraction

Extract

Verify

Match

Integrate

Trusted Across Industries

Marketplace

Wholesale & Distribution

Retail & E-commerce

Manufacturing

Financial Services

Marketplace

Wholesale & Distribution

Built for the Files That Break Other Tools

One Template for All

Human-Like Intelligence

Accuracy You Can Trust

More Than Extraction

Built for Scale. Proven in Production.

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