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DOConvert is a no-code intelligent document processing (IDP) platform specializing in supply chain and manufacturing document automation. It extracts data from complex B2B documents and integrates with ERP and digital records systems without requiring programming.

DOConvert

2021Founded in Tel Aviv
6Current employees
$20KTechstars accelerator funding (Jan 2024)
2025Oracle ISV partner status achieved

Overview

Founded in 2021 by Avi Rafalson, Gal Or, and Dor Golan in Tel Aviv, DOConvert targets manufacturers, distributors, and logistics providers with a platform built around inbound external documents: supplier invoices, purchase orders, bills of lading, and shipping files. The core workflow is email-to-ERP: documents arrive at a dedicated email address as PDFs, the platform parses them, and structured data is pushed into downstream systems within seconds.

The strongest independent signal for the platform comes from ISCAR, a Berkshire Hathaway subsidiary (IMC Group), whose CIO Tzahi Nussbaum confirmed the platform digitized their shipping and customer service departments. SAP integration is verified through that customer testimony.

In February 2025, DOConvert joined Oracle's ISV partner program, enabling bi-directional integration for procurement and compliance workflows. This expands the verified integration story beyond SAP and signals a deliberate push toward enterprise ERP coverage. DOConvert also claims compatibility with Salesforce, Priority, H-erp, and custom APIs, though no independent validation of that full breadth exists.

In 2025, DOConvert made its first move into the U.S. market, selecting Dallas as its Southwest hub to engage American manufacturing and logistics companies. No physical office is open; a small Dallas-focused team is operational and early customer onboarding is underway. The company operates in a competitive segment alongside Rossum, Hypatos, and Tungsten Automation, all of which target invoice and purchase-order automation for enterprise buyers.

How DOConvert processes documents

DOConvert's no-code platform configures document processing workflows through visual interfaces without programming. The system follows a four-step pipeline: ingestion via dedicated email address, automatic document identification, data extraction using natural language processing (NLP), and ERP import. Documents arrive as PDFs; the platform parses them and pushes structured data into downstream systems. SAP integration is confirmed by named customer testimony, with seconds-level processing claimed for high-volume batches.

The system handles multi-page documents with tables, handwritten notes, and mixed layouts common in supply chain operations, combining OCR technology with machine learning models to extract data from printed and handwritten content. Extracted data posts automatically to appropriate ERP fields. The underlying architecture, whether template-based, model-driven, or hybrid, is not publicly disclosed. This gap matters for buyers evaluating accuracy on edge-case documents.

DOConvert supports both cloud and on-premise deployment, which differentiates it from cloud-only competitors in the supply chain IDP segment. The platform claims up to 75% reduction in data entry costs. No third-party benchmark, analyst report, or audited case study supports this figure; it should be treated as a vendor claim until independently validated.

1

Ingestion

Documents arrive at a dedicated email address as PDFs from suppliers, carriers, or customers.

2

Identification

The platform automatically identifies document type: purchase order, invoice, bill of lading, or shipping file.

3

Extraction

NLP-based extraction pulls structured fields including part numbers, quantities, dates, and pricing from variable layouts.

4

ERP import

Structured data posts automatically to the appropriate fields in SAP, Oracle, Salesforce, Priority, or connected systems.

Use cases

Manufacturer purchase order processing

Manufacturing companies deploy DOConvert to automate inbound purchase order handling. The platform extracts part numbers, quantities, delivery dates, and pricing from customer POs in varying formats, posting data directly to production planning systems. I-Digital, a customer quoted via an aggregator listing, reported saving 220 hours per month in data entry. This figure is unverified by independent sources.

Distribution center document automation

Logistics providers use DOConvert to process bills of lading, packing slips, and shipping documents. The system extracts shipment details, tracking numbers, and item information from carrier documents with different layouts, integrating with warehouse management systems. ISCAR's CIO confirmed the platform met their goals for digitizing shipping and customer service departments, making this the strongest independently sourced customer reference available.

Supply chain invoice processing

Supply chain organizations automate accounts payable by processing vendor invoices through DOConvert. Amtel, a customer quoted in vendor materials, described hundreds of credit invoices arriving at a dedicated email in PDF format and being automatically parsed into SAP within seconds, with thousands of orders processed on the first day. Because this reference originates from vendor-sourced materials rather than independent reporting, it carries lower evidentiary weight than the ISCAR testimony.

Procurement and compliance workflows

The February 2025 Oracle ISV partnership specifically targets procurement and compliance use cases, enabling bi-directional data flow between DOConvert's extraction layer and Oracle ERP environments. This positions the platform for regulated procurement workflows where audit trails and compliance documentation are required alongside operational automation.

Technical specifications

Feature Specification
Core technology OCR, NLP, AI-driven extraction, no-code configuration
Platform type No-code IDP platform
Document ingestion Dedicated email address (PDF ingest)
Document types Purchase orders, invoices, bills of lading, packing slips, shipping documents
Industries Manufacturing, distribution, supply chain, logistics
Integration SAP (customer-confirmed), Oracle (ISV partner), Salesforce, Priority, H-erp, custom APIs
Deployment Cloud and on-premise
Configuration No-code visual interface
Cost savings Claimed 75% reduction in data entry costs (unverified)
Time savings Customers report 220 hours saved per month (unverified)
Employees 6 (as of 2024, per PitchBook)
Funding $20K Techstars accelerator (January 2024)
U.S. operations Dallas hub for U.S. expansion (2025); no physical office yet
Architecture Not publicly disclosed (template-based, model-driven, or hybrid unknown)

Competitive context

DOConvert competes in a segment that Deep Analysis tracked at 456 IDP vendors as of July 2025, a 15% year-over-year increase. Infosource valued the broader IDP market at $8 billion with 14.5% year-over-year growth and a 16% compound annual growth rate projected through 2029.

Within that market, DOConvert's supply chain focus is a deliberate narrowing. Rossum, which launched specialist AI agents for invoices and purchase orders in 2025, competes directly in the same document types. Broader platforms like ABBYY and UiPath address supply chain documents as part of wider enterprise portfolios, bringing more resources but less vertical focus.

The Oracle ISV partnership is the most significant competitive development in the current research period. It gives DOConvert a credible enterprise integration story alongside the existing SAP reference, which matters when competing for procurement automation budgets at mid-market and enterprise manufacturers.

One competitive risk is the industry-wide shift toward agentic document processing. In 2025, multiple vendors launched autonomous agent architectures for document workflows, including Rossum, Parashift, Hyland, and Affinda. DOConvert's roadmap regarding agentic capabilities is not publicly documented, which creates uncertainty for buyers evaluating long-term platform direction.

A 6-person team and $20K in disclosed funding also constrain DOConvert's ability to match the development velocity of well-funded competitors. The company reports revenue generation, which indicates operational traction, but the funding gap relative to category leaders is significant.

Verification note: Claims of 75% data entry cost reduction, 220 hours saved per month, and 10-day implementation timelines appear only in vendor-sourced or aggregator materials. No independent analyst coverage, audited case studies, or third-party benchmarks exist in public sources as of April 2026. Buyers should request verified references before relying on these figures.

Resources

Company information

Headquarters: Tel Aviv, Israel

U.S. hub: Dallas, Texas (operational team; no physical office as of mid-2025)

Founded: 2021

Founders: Avi Rafalson, Gal Or, Dor Golan

Employees: 6 (per PitchBook)

Funding: $20K Techstars accelerator (January 2024); no subsequent funding rounds publicly disclosed

Notable customers: ISCAR (IMC Group / Berkshire Hathaway)

Partnerships: Oracle ISV (February 2025)