14 Rossum AI Alternatives / Competitors in 2025

Document processing is crucial in many industries such as finance automation and accounts payable. Alongside accounts payable AI (APAI) solutions, AI-driven Intelligent Document Processing (IDP) vendors such as Rossum capture attention. 

In this vibrant market, AP AI market spending is projected to surge to $1.9 billion by the end of 2025.¹  To facilitate your decision-making, we explore Rossum AI alternatives and their features for 2 different categories:

Rossum alternatives’ comparison

Rossum serves several different use cases. Based on the use case your business wants to implement, there are different alternatives:

Alternatives for AP automation with AI

Note: The table is sorted out based on the number of reviews.

Alternatives in IDP and OCR

*For more information on Google’s pricing, check out: Document AI pricing.

Note: This table is sorted out based on the number of reviews.

Table features:

OCR software: OCR (Optical Character Recognition) is a technology designed to recognize and interpret text characters within images, such as those in printed books, photographs, or scanned documents. This technology transforms image-based text into computer-readable characters, enabling future editing, computing, and analysis.

Codes:

• No code: No-code platforms are designed for users with no programming knowledge. They provide a visual development environment where users can create applications using drag-and-drop components and pre-built templates.
• Low code: Low-code platforms require some degree of coding knowledge but significantly less than traditional development environments. They also offer a visual interface with drag-and-drop features but allow for more customization and complexity through limited coding.
• General code (traditional coding): This approach involves writing software using programming languages like Python, Java, or C++. It requires a comprehensive understanding of coding, logic, and development frameworks. 

Cloud-based & APIs: IDP & OCR services in the cloud allow users to upload documents to be processed on remote servers, making the tool accessible from anywhere with an internet connection. IDP & OCR APIs enable integration into larger systems or applications which allow automated text extraction from images within different software environments.

Vendor selection criteria

Rossum’s alternatives for AP automation with AI vendors are selected in following criteria:

• Number of employees: Vendors with 50+ employees
• Review numbers: Vendors that received 20+ reviews in major reviews sites of G2, Capterra and TrustRadius
• Average scores: Vendors with more than 4.0+/5 average score

Rossum’s alternatives in OCR and IDP are selected in following criteria:

• Review numbers: Vendors that received 5+ reviews in major reviews sites of G2, Capterra and TrustRadius
• Average scores: Vendors with more than 4+/5+ average score

Rossum overview

Founded in 2017, Rossum identifies itself mainly as an IDP vendor, utilizing technologies such as machine learning and NLP in document processing. As in accounts payable, Rossum’s technology offers end-to-end automation throughout many different industries. In finance, OCR use can trigger inefficiencies in case of deviations. The validation interfaces can be nonexistent, and this can consume a lot of IT’s time. Rossum aims to fix these by empowering existing technologies with AI. Its software can recognize the design, specific language, and formatting signals in documents.

Solutions offered by industry

• Financial services
• Logistics & transportation
• Manufacturing
• Retail & CPG
• Business services/BPOs
• Healthcare
• Insurance
• Construction

Key features & capabilities

• AI-powered data extraction: Rossum’s AI can extract data from various documents. The understanding and processing of the content aims to mimic human-features.
• Cognitive data capture: Rossum’s software can recognize and understand the context of the information in documents, not just the data itself. This allows for more intelligent data capture.
• Layout agnostic recognition: Contrary to traditional OCR tools that depend on fixed layouts, Rossum’s AI can adapt to document layouts without the need for pre-defined templates.
• Validation interface: Rossum provides an interface for verification and correction of extracted data.
• Automatic learning: The platform learns from user interactions and corrections and feedback.
• Document type versatility: Rossum can process a wide range of document types, including invoices, purchase orders (POs), and receipts.
• Multi-format support: Rossum can process documents in various formats, including PDFs, scanned images, and electronic documents.
• Cloud-based: As a cloud-based platform, Rossum offers scalability, remote accessibility, and reduced infrastructure costs.

Pros

• Time saving (case study): Master Trust Bank of Japan dealt with extensive financial documentation, where accuracy was crucial due to regulatory and compliance demands. With 40 staff members, manual data entry was intensive, with each document taking up to 1.5 hours due to varying layouts. Implementing Rossum’s IDP platform, which blends open-source Japanese OCR with proprietary technology, cut the manual effort by 75%. Now, document validation averages 50 seconds, saving 27.5% of the time per document. ²  
• Minimal set up: It requires less initial setup and training compared to traditional OCR solutions, thanks to its AI-driven understanding of documents.
• Integration: Rossum can integrate with existing ERP systems, business process management tools, and other enterprise software via APIs.

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Cons

• Customers experienced problems regarding changes and complexities of APIs.
• Users claim that Rossum can have trouble handling large amounts of documents.
• Customers pointed out to the issue that Rossum can have trouble in reading line-items.

No code alternative analysis

Docsumo

Docsumo is a document processing and data extraction tool that utilizes OCR and AI to automate the conversion of unstructured documents into actionable data. Its ability to analyze and categorize information minimizes manual data entry.

Pros

• Extraction capabilities: Users praised Docsumo’s extraction due to its accuracy and time-saving characteristics.
• Scalability: The platform’s scalability and the responsive customer support add to its appeal, particularly for companies aiming to streamline their document workflow and enhance productivity.

Cons

• Software issues: Formatting problems are underlined by the users.
• Limits: Limited number of files to be approved at once. Users also disliked the limited credits offered by Docsumo.

General code-based IDP alternative analysis

Amazon Textract

Amazon Textract is a service by AWS that leverages machine learning to extract text and data from scanned documents. It goes beyond traditional OCR capabilities by identifying the contents of fields in forms and information stored in tables. 

Pros

• Amazon integrations: Its deep integration with other AWS services further enhances its appeal, offering a scalable and comprehensive solution for businesses invested in cloud infrastructure and looking to harness the power of AI for document analysis.
• Templates: Textract can extract data with a unique ML technology from templates and offers reach to thousands of free templates. 
• Accuracy: Users point out that Amazon’s APIs have high accuracy in extracting data.

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Cons

• Ambigious responses: The APIs response can be hard to understand for customers.
• Format recognition. Textract, from time to time, is not able to understand the necessary format. 

Further reading

• Enterprise Invoice Processing: 4 Guidelines & 3 Solutions
• Dynamics 365 in Accounts Payable Automation: In-Depth Review
• NetSuite Accounts Payable (AP) Automation
• Blackbaud Accounts Payable (AP) Automation: In-Depth Review
• Sage Accounts Payable (AP) Automation
• Top 10 Tungsten ReadSoft Alternatives / Competitors
• Top 10 Tungsten (Kofax) Alternatives/Competitors

Reference Links

1

Market Guide for Accounts Payable Invoice Automation Solutions

2

Customer Story - Master Trust Bank of Japan - Rossum.ai

Rossum

Principal Analyst

Cem Dilmegani

Principal Analyst

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Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

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