Document Capture Software

Last update: January 17, 2025

Document capture software capture data stored within documents such as pdfs and image files enabling companies to process the information within documents +Show More

Most online and offline documents can be categorized as semi-structured data. They are not immediately processable by machines. Initially, template based software attempted to bridge this gap and allow companies to automatically extract data from documents. However, templates enable limited levels of automation and are hard to maintain. Since the last few years, vendors have built machine learning models using millions of sample documents. These models are able to automatically extract data from documents with a high accuracy rate

To be categorized as a document capture software, a product must be able to

  • automatically extract data out of a specific type (e.g. invoice) or various different types of documents.
  • provide a confidence for the extracted data so users can decide to auto-process or manually validate the software output
  • provide a User Interface (UI) for manually validating and correcting extracted data

How are vendors scored in this category?

Data extraction performance is a key metric for these solutions. We have run a benchmark on the free trial/community edition software. In addition, we asked our clients for similar benchmarks.

  • The vertical (Y) axis is a normalized measure of correctly extracted fields per document.
  • The horizontal (X) axis is a normalized measure of extraction accuracy.
If you’d like to learn about the ecosystem consisting of Document Capture Software and others, feel free to check AIMultiple Automation.
How relevant, verifiable metrics drive AIMultiple’s rankings

AIMultiple uses relevant & verifiable metrics to evaluate vendors.

Metrics are selected based on typical enterprise procurement processes ensuring that market leaders, fast-growing challengers, feature-complete solutions and cost-effective solutions are ranked highly so they can be shortlisted.
Data regarding these metrics are collected from public sources as outlined in the “What are AIMultiple’s data sources?” section of this page.


There are 2 ways in which vendor metrics are processed to help prioritization:
1- Vendors are grouped within 4 metrics (customer satisfaction, market presence, growth and features) according to their performance in that metric.
2- Vendors that perform high in these metrics are ranked higher in the list.


The data used in each vendor’s ranking can be accessed by expanding the vendor’s row in the below list.
This page includes links to AIMultiple’s sponsors. Sponsored links are included in “Visit Website” buttons and ranked at the top of the list when results are sorted by “Sponsored”. Sponsors have no say over the ranking which is based on market data. Organic ranking can be seen by sorting by “AIMultiple” or other sorting approaches. For more on how AIMultiple works, please see the ethical standards that we follow and how we fund our research.

Products Position Customer satisfaction
PaperSave logo

PaperSave

Niche Player
Low
PaperSave, now part of PairSoft, originated as a hybrid AP automation and document management solution for on-premise or cloud use. It directly integrated with Microsoft Dynamics, Blackbaud, and Sage Intacct, offering one-click document access from the ERP. This integration remains in PairSoft's offerings, eliminating manual data entry for invoicing, audit trails, purchase orders, and approval workflows.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
3.90 / 5 based on ~10 reviews
Market presence
Company's number of employees
100-200 employees
Company's social media followers
20k-30k followers
Features
Invoice extraction
Company
Type of company
private
Tipalti logo

Tipalti

Leader
Satisfactory
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.48 / 5 based on ~500 reviews
Market presence
Number of case studies
50-100 case studies
Company's number of employees
1k-2k employees
Company's social media followers
40k-50k followers
Total funding
$1-1bn
# of funding rounds
10
Latest funding date
May 15, 2023
Last funding amount
$100-250m
Company
Type of company
private
Founding year
2010
Laserfiche logo

Laserfiche

Leader
Satisfactory
Laserfiche is a world leader in Enterprise Content Management (ECM), document management (DMS) and BPM solutions.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.40 / 5 based on ~800 reviews
Market presence
Number of case studies
200-300 case studies
Company's number of employees
300-400 employees
Company's social media followers
20k-30k followers
Company
Type of company
private
Founding year
1987
Docparser logo

Docparser

Leader
Satisfactory
Extract data from PDF files & automate your workflow with our reliable document parsing software.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.70 / 5 based on ~200 reviews
Market presence
Number of case studies
1-5 case studies
Company's number of employees
5-10 employees
Company's social media followers
400-1k followers
Company
Type of company
private
Founding year
2016
Coupa Procurement logo

Coupa Procurement

Leader
Satisfactory
Point solutions are pointless: spend smarter with the leading spend management platform built for companies like you. The Coupa platform allows you to take control of your spend and position your business for resilience and growth. Start your spend management practice with the areas that are most important to your business today, and grow on the platform as your needs change. Gain unparalleled control and visibility by having a single source for all your spend management needs. -Requests and Approvals: Centralize and manage requests of all shapes and sizes. Coupa provides an intuitive, user friendly guided buying experience that makes it easy for your employees to find the things they need and also ensure that their requests get to the right approvers. -Invoices and Expenses: Automate and scale your Accounts Payable with our industry-leading AP automation solution, which delivers multi-level automated invoice validation, dynamic approval workflows, and full mobile access. -Vendor Management: Integrated vendor onboarding and management solution helps vendors self service and eliminates the silos between vendor management and Accounts Payable. -All Payments. One Place: Our fast, secure, global payments platform enables you to maximize your rebate and working capital and automate reconciliation. Coupa integrates easily with your ERP so you can accelerate financial processes, ensure compliance and control spend by giving everyone in your organization a unified and easy way to make smarter purchases and get more from their budgets. Get real, measurable value from spend that’s unobtainable from your ERP system alone.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.05 / 5 based on ~600 reviews
Market presence
Company's number of employees
3k-4k employees
Company's social media followers
100k-1m followers
Ephesoft logo

Ephesoft

Leader
Satisfactory
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.50 / 5 based on ~100 reviews
Market presence
Number of case studies
20-30 case studies
Company's number of employees
30-40 employees
Company's social media followers
5k-10k followers
Total funding
$10-50m
# of funding rounds
2
Latest funding date
July 11, 2017
Last funding amount
$10-50m
Company
Type of company
private
Founding year
2010
DocuPhase logo

DocuPhase

Challenger
Satisfactory
DocuPhase can help transform your business processes with document management software and workflow automation.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.45 / 5 based on ~100 reviews
Market presence
Number of case studies
10-20 case studies
Company's number of employees
100-200 employees
Company's social media followers
5k-10k followers
Company
Type of company
private
Founding year
2000
Rossum logo

Rossum

Challenger
Satisfactory
Rossum provides a solution to automate data extraction from documents with Artificial Intelligence to create a world without manual data entry
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.45 / 5 based on ~90 reviews
Market presence
Number of case studies
5-10 case studies
Company's number of employees
100-200 employees
Company's social media followers
10k-20k followers
Total funding
$100-250m
# of funding rounds
6
Latest funding date
January 26, 2024
Features
Invoice extraction
Company
Type of company
private
Founding year
2017
Esker logo

Esker

Challenger
Satisfactory
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.58 / 5 based on ~60 reviews
Market presence
Number of case studies
100-200 case studies
Company's number of employees
400-1k employees
Company's social media followers
10k-20k followers
Company
Type of company
private
Founding year
1985
Veryfi logo

Veryfi

Challenger
Satisfactory
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.60 / 5 based on ~50 reviews
Market presence
Number of case studies
10-20 case studies
Company's number of employees
50-100 employees
Company's social media followers
2k-3k followers
Total funding
$10-50m
# of funding rounds
3
Latest funding date
April 6, 2021
Last funding amount
$10-50m
Company
Type of company
private
Founding year
2017

“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.


Sources

AIMultiple uses these data sources for ranking solutions and awarding badges in document capture software:


20 vendor web domains
17 funding announcements
55 social media profiles
71 profiles on review platforms
21 search engine queries

Document Capture Leaders

According to the weighted combination of 4 metrics

Tipalti logo
Laserfiche logo
Docparser logo
Coupa Procurement logo
Rossum logo

What are document capture
customer satisfaction leaders?

Taking into account the latest metrics outlined below, these are the current document capture customer satisfaction leaders:

Laserfiche logo
Tipalti logo
Docparser logo
Coupa Procurement logo
Ephesoft logo

Which document capture solution provides the most customer satisfaction?

AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.

While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.

  • Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
  • Recency is important as products are always evolving.
  • Reviews older than 5 years are not taken into consideration
  • older than 12 months have reduced impact in average ratings in line with their date of publishing.

What are document capture
market leaders?

Taking into account the latest metrics outlined below, these are the current document capture market leaders:

Tipalti logo
Laserfiche logo
Docparser logo
Coupa Procurement logo
Rossum logo

Which one has collected the most reviews?

AIMultiple uses multiple datapoints in identifying market leaders:

  • Product line revenue (when available)
  • Number of reviews
  • Number of case studies
  • Number and experience of employees
  • Social media presence and engagement
Out of these, number of reviews information is available for all products and is summarized in the graph:

Laserfiche
Coupa Procurement
Tipalti
Docparser
DocuPhase

What are the most mature document capture software?

Which one has the most employees?

AWS logo
Hyland Software logo
Coupa logo
Kofax logo
Tipalti logo

Which document capture companies have the most employees?

159 employees work for a typical company in this solution category which is 136 more than the number of employees for a typical company in the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 20 companies with >10 employees are offering document capture software. Top 3 products are developed by companies with a total of 100k employees. The largest company in this domain is AWS with more than 100,000 employees. AWS provides the document capture solution: AmazonTextract

AWS
Hyland Software
Coupa
Kofax
Tipalti

Insights

What are the most common words describing document capture software?

This data is collected from customer reviews for all document capture companies. The most positive word describing document capture software is “Easy to use” that is used in 6% of the reviews. The most negative one is “Difficult” with which is used in 3% of all the document capture reviews.

What is the average customer size?

According to customer reviews, most common company size for document capture customers is 51-1,000 employees. Customers with 51-1,000 employees make up 57% of document capture customers. For an average Automation solution, customers with 51-1,000 employees make up 17% of total customers.

Customer Evaluation

These scores are the average scores collected from customer reviews for all document capture software. Document Capture Software are most positively evaluated in terms of "Overall" but falls behind in "Likelihood to Recommend".

Overall
Customer Service
Ease of Use
Likelihood to Recommend
Value For Money

What are the benefits of Document Capture?

The most commonly cited benefits of Document Capture are:

  • Time saving
  • Cost saving
  • Improved compliance
  • Increased visibility
  • Enhanced collaboration
  • Increased security
  • Reduced rework

Discover all Document Capture benefits

Where are document capture vendors' HQs located?

What is the level of interest in document capture software?

This category was searched on average for 356 times per month on search engines in 2024. This number has decreased to 0 in 2025. If we compare with other automation solutions, a typical solution was searched 1.2k times in 2024 and this decreased to 0 in 2025.

Learn more about Document Capture Software

Document capture software is an application that can automate the process of scanning paper documents or importing electronic documents for capturing the relevant information for further operations. These tools can collect unstructured forms of data, turn them into actionable information to be used in specific business functions or intents, and store them in databases for future reference.

Here is how document capture software works:

  • Documents are imported to document capture software.
  • The text is transformed into a readable format by deskewing and cleaning the image and improving image quality.
  • The software reads and captures unstructured data that passes predefined tolerance levels. If a document fails, it is sent for manual verification.
  • The collected unstructured data is converted to structured data by leveraging machine learning algorithms. The data is classified and appropriately validated in this step.
  • The data is transferred to the database for further processes.
  • If needed, the captured data can be processed for further tasks like document generation. You can read more about this in our document automation guide.

Most common business documents include:

    Finance Operations
    • Procure-to-Pay
      • Offers
      • Invoices
      • Bill of lading: Necessary for matching goods received and invoices received in IRGRC (invoices received goods received clearing)
    • Order-to-Cash
      • Order forms
    HR Operations
    • Travel and expense management
      • Receipts
      • Invoices for individual spending
      • Tickets
    • CV Screening
      • CVs
    Legal Processes
    • Tax Statements
    • Legal Contracts
    Healthcare
    • Prescriptions
    • Medical records
    Other Processes
    • Loan Application forms
    • Payslips
    • W2 forms

The main benefits include:

  • Faster processes
  • Reduced costs
  • Reduced errors
  • Improved customer satisfaction
  • Improved security
  • Better decision making

To read more about how document capture tools achieve these benefits, feel free to read the related section of our in-depth document capture guide.

Typical document capture use cases include:

  • Accounts Payable: In these processes, document capture tools can provide invoice automation and process invoice data like line item information, delivery dates, shipping costs, and discounts. To learn more about accounts payable automation, you can also read our in-depth guide.
  • Order Management: Document capture tools can handle a wide range of documents that order management departments use to carry out their activities. To learn more about order management, feel free to read our related article.
  • Auditing: To identify risks in real-time and identify compliance issues, companies can benefit from document capture tools.
  • Loan Applications: The software can provide automated examinations of payslips and bank statements of applicants to accelerate the processes.
  • Analytics & BI: Data stored in forms is not always captured by the business as manual data capture is prohibitively expensive. Analytics units can process historical documents, capture data and run analyses to gain insights on how the business is progressing over time and identify improvement opportunities.

For more use cases, you can visit the related section of our in-depth document capture guide.

The ideal document capture tool for your company should:

  • recognize a well-scanned document accurately and extract the data in structured data format
  • be robust in cases of inadequate image quality and handwriting,
  • be accurate in estimating its own accuracy.

Extracted data needs to come with confidence scores to enable STP. If scores are not accurate, you may auto process documents that need human in the loop resulting in mistakes or you may require human operators to look at documents that are already extracted correctly

Considering these factors, you should first decide on what kind of document capture tool you need. For example, some vendors can provide better results in handwritten documents while they might not be accurate enough in formatting. Then, you should create a shortlist of possible vendors based on your requirements. Besides software performance, you might also want to consider the following items to make a final decision:

  • Accuracy level of the solution evaluated based on a statistically significant, representative sample set from your documents
  • User-friendly interface
  • Cost and timeline of implementation
  • Ability to integrate with your current ECM (Enterprise Content Management) tools so you can implement the new solution without changing existing workflows. This is only relevant for companies that already rolled out and are satisfied with the performance of their ECM system
  • Vendor experience
  • Vendor support
  • Conforming to other requirements such as data privacy, security, auditability, scalability, monitoring/alerting capabilities etc.

Document capture software leverages the following technologies to perform tasks:

  • Optical Character Recognition (OCR): Document capture tools need to recognize text in every document. To do that, OCR plays a critical role by benefiting from computer vision to text recognition and deep learning algorithms for identifying each character. You can read more about OCR in our in-depth guide.
  • Neural network algorithms: To classify the unstructured data that is captured from scanned documents, neural network algorithms are used. By continuously being used, document capture tools can increase their accuracy levels in time. These algorithms are used in OCR for precise character recognition, as well. With the rise of deep learning, deep learning architectures are commonly used in neural networks in this field.
  • Natural Language Processing (NLP) Algorithms: As part of entity recognition, NLP is used to process and understand natural language text and extract captured information within the documents.
  • Word Embedding: By clustering similar words together, document capture tools can classify different types of documents fastly and with reduced errors.

While document capture tools manage a critical part of business operations by handling repetitive, low-skill tasks, the main challenge about these tools is to capture relevant data accurately. While document capture tools can work with high accuracy with typed documents today, they still require human in the loop to avoid any recognition errors.

Yet, active research on machine learning continues to overcome this challenge. Today, this research is mostly focused on handwritten documents and cursive texts, as they are harder to identify. In the future, we expect document capture tools to handle these tasks successfully and without any human intervention. You can read more about this in our current state of OCR technology article.

Besides improving data capture processes, converting unstructured data to structured data is still a developing process. While this process requires AI and machine learning algorithms to structure data accurately, many tools still require human intervention to avoid errors today. Both tech giants like Amazon and startups like Hypatos are investing in machine learning to improve the assignment of text to data entities and therefore converting images more accurately into structured data. As a result, we expect more accurate processes in the future's document capture tools.

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