Acodis Intelligent Document Processing (IDP) Platform

Finally, a platform that supports you with powerful yet easy to use AI in extracting and structuring data from any of your documents.

  • Sort your documents into categories
  • Extract relevant data points
  • Extract document structures (e.g. titles, tables, or charts)
GET YOUR DEMO
WATCH FREE IDP DEMO
Data Extraction Capture Acodis

Some of Our Clients

Migros Bank uses Acodis Intelligent Document Processing
Allianz uses Acodis Intelligent Document Processing
Rhenus Logistics uses Acodis Intelligent Document Processing
Vontobel uses Acodis Intelligent Document Processing
Creditreform Rating uses Acodis Intelligent Document Processing
Wuest Partner uses Acodis Intelligent Document Processing

Intelligent Document Processing (IDP)
in 4 Steps

The world is full of unstructured data hidden in documents – and it will be for a long time to come.
That's why we built Acodis so that you can extract data from any document, in any language.

Watch the on-demand webinar: Data Extraction With Machine Learning

1
Categorise Documents

Separate documents into categories.

For example, sort between purchase orders and contracts.

2
Extract Data

Extract relevant data from any document.

These can be simple data points or the entire document content.

3
Review Results

Validate extracted data if necessary.

This helps to ensure the highest data quality in your processes.

4
Integrate and Export

Export the structured data into your system of choice.

Choose between standard integrations or use RestAPI.

How Enterprises Use Acodis

Blue folder

Document Categorisation

Sort documents into different categories.
For example, you can sort between purchase orders and contracts or go even further and sort the purchase orders based on the supplier – you define the categories and Acodis sorts for you.
blue focus-target

Data Extraction

Convert any document into structured data – in seconds, thanks to A.I. You can choose between pre-trained models or build your custom extraction models with just a few clicks.
blue puzzle-piece

Structure Extraction

Extract images, tables, headings, lists, footnotes, and paragraphs that can span over multiple columns or pages. Automatically process documents like contracts with countless clauses.

Award-Winning IDP Platform

Data Extraction Ease Of Doing Business With 2021 G2 Award
Data Extraction Best Support 2021 G2 Award
Data Extraction High Performer 2021 G2 Award
Data Extraction Best Relationship 2021 G2 Award
Data Extraction Ease Of Doing Business With 2022 G2 Award
Data Extraction Best Support 2022 G2 Award
Data Extraction High Performer 2022 G2 Award
Data Extraction Best Relationship 2022 G2 Award

AI-Powered Features

Blue brain icon

Pre-Trained Models

Acodis pre-trained models have been extensively tested and allow you to instantly start extracting data from your documents and get fast and reliable results.

Blue robot icon

Custom AI Models

Use custom models to get the most accuracy out of your data. Be in charge of how and where you want your data to be extracted.

Blue differently sized vertical analytics lines icon

AI-Driven Accuracy

Get automatic indications of which document categories and labelled data points require review.

Blue checkmark icon

Custom Validation

Define a set of parameters for your ML models for additional assurance that your data points are extracted with ultimate accuracy.

 

Smart Assistant Helps
You Create Workflows

Smart Data Field Type Detection

There is no need to set each data field type manually when creating a data extraction schema anymore – Acodis automatically suggests the right type based on the data properties it detects from the document (date, number, text, etc.).

Assisted Labeling

Forget about manually labelling hundreds of documents. Acodis understands documents like a human does and almost immediately starts suggesting suitable label positions on your document examples. Once you approve the model suggestions, data extraction starts in seconds.

Built-in Categorisation Training

Skip the painful task of building and training an AI model that recognises your document categories. It might feel a bit like magic, but Acodis intuitively understands different categories automatically just from a few examples and trains the model for you.

Integrate with Your Favourite Apps

palantir-vector-logo
Microsoft Azure Logo
UI Path logo
SAP logo
Oracle logo
Untitled design-14

Integrate Acodis with UiPath

Acodis now integrates to UiPath the leader in Robotic Process Automation to improve data extraction for large enterprise customers. 

Watch the video below and see how simple the integration is.

  • What Is Intelligent Document Processing (IDP)?

    It's a solution that transforms unstructured information from your documents into usable data. It can extract, classify, and process data from any document in any language - using AI. 

    Since most of your data is locked inside your documents (emails, PDFs, scans, etc.), you only use a tiny percentage of your data.

  • Features of Intelligent Document Processing (IDP)

    • Automated extraction of unstructured/semi-structured data

    • Eliminates manual data entry

    • Fast implementation and easy integrations with other systems

    • Powered by AI and machine learning technology

    • Fastest and most accurate data extraction from any document

    • Available for any language

    • Connects to existing RPA systems

  • IDP Systems vs RPA

    If you’re wondering what RPA software is, it stands for Robotic Process Automation – which supports business process optimisation by automating existing repetitive tasks.

    IDP helps RPA bots by providing data extraction and document classification features. So in real life, you can achieve the best results if you combine RPA with IDP.

  • How Is IDP Different from OCR?

    You have most likely heard of OCR, but what is it in more detail?

    OCR stands for Optical Character Recognition and can scan documents and transforms them into a machine-readable form. But it doesn't "really" understand your data like IDP does. 

    For instance, OCR can tell us that certain pixels are the numbers 1 9 8 0 – but it does not understand that it's a year and part of your Date of Birth.

    💡 IDP does, though. As humans, we quickly understand the meaning behind certain words, and that's what IDP does for you. It understands text and documents.

    Infographic: OCR vs Intelligent Document Processing 

    OCR vs Acodis Checklist | Acodis

  • IDP Checklist: How to Compare Different IDP Providers

    When you’re shopping around for data extraction software, consider the following factors:

    • Document complexity – consider the volume of documents that your business processes and how many of them are complex. 
    • There is no such thing as standard documents; layouts change constantly. Ensure that your system is not based on templates, as templates break whenever your documents change.
    • Can you build your own model with just a few clicks for the highest data extraction accuracy, and does your system also provide pre-trained models for the most common documents for fast results?
    • One last thing: can your system easily combine custom and pre-trained models for fast and accurate results?

What Is Intelligent Document Processing (IDP)?

It's a solution that transforms unstructured information from your documents into usable data. It can extract, classify, and process data from any document in any language - using AI. 

Since most of your data is locked inside your documents (emails, PDFs, scans, etc.), you only use a tiny percentage of your data.

Features of Intelligent Document Processing (IDP)

  • Automated extraction of unstructured/semi-structured data

  • Eliminates manual data entry

  • Fast implementation and easy integrations with other systems

  • Powered by AI and machine learning technology

  • Fastest and most accurate data extraction from any document

  • Available for any language

  • Connects to existing RPA systems

IDP Systems vs RPA

If you’re wondering what RPA software is, it stands for Robotic Process Automation – which supports business process optimisation by automating existing repetitive tasks.

IDP helps RPA bots by providing data extraction and document classification features. So in real life, you can achieve the best results if you combine RPA with IDP.

How Is IDP Different from OCR?

You have most likely heard of OCR, but what is it in more detail?

OCR stands for Optical Character Recognition and can scan documents and transforms them into a machine-readable form. But it doesn't "really" understand your data like IDP does. 

For instance, OCR can tell us that certain pixels are the numbers 1 9 8 0 – but it does not understand that it's a year and part of your Date of Birth.

💡 IDP does, though. As humans, we quickly understand the meaning behind certain words, and that's what IDP does for you. It understands text and documents.

Infographic: OCR vs Intelligent Document Processing 

OCR vs Acodis Checklist | Acodis

IDP Checklist: How to Compare Different IDP Providers

When you’re shopping around for data extraction software, consider the following factors:

  • Document complexity – consider the volume of documents that your business processes and how many of them are complex. 
  • There is no such thing as standard documents; layouts change constantly. Ensure that your system is not based on templates, as templates break whenever your documents change.
  • Can you build your own model with just a few clicks for the highest data extraction accuracy, and does your system also provide pre-trained models for the most common documents for fast results?
  • One last thing: can your system easily combine custom and pre-trained models for fast and accurate results?

Use Cases

Intelligent Document Processing (IDP) benefits every company when automating document-heavy processes. IDP is industry and use-case agnostic.

You find a selection of the use cases we have already implemented on the right.

Video: Intelligent Document Processing Explained in 58 Seconds
Intelligent Document Processing (open subtitles)

 

Payslips/Income Verification

When applying for a loan, we would like a fast and timely answer whether the request got accepted or not.

Sounds straightforward, but we couldn't believe it when we learned that most institutions still review payslips manually.

Intelligent document processing supports financial institutions in extracting relevant data from payslips and other financial documents. 

Contracts

Contracts hold valuable information but are typically hard to access. IDP classifies, extracts and validates contracts. 

Typically IDP solves the following three issues:

  1. Search for specific issues or provisions within documents and get the relevant clauses and even sub-clauses that you're looking for.

  2. Detect the similarities and differences between documents such as employment contracts for comparisons.

  3. Search for specific values relating to particular issues within the document (property lease search, extract & normalise termination dates and insurance requirements).

Read more about IDP and Intelligent Contract Management.

Invoices
Processing large numbers of invoices manually is time-consuming and slows down the whole payment process. The implementation of Intelligent Document Processing for payment processes opens up new resources and allows your employees, to use their focus for more important tasks.
 
Mailroom Automation

Mailroom Automation captures incoming mails and their documents attached, classifies and processes them, and sends the extracted data to the responsible person or the appointed system.

The automation of incoming mail not only enables you to shorten your processing and response times - but also helps to lower the costs of sorting, organising, and manually tagging documents.

Also, make information faster available to enterprise business systems faster to initiate, support, and complete transactions. 

Four advantages of IDP for mailroom automation:

  1. Make information faster available to initiate, support, and complete transactions

  2. Gain a real-time understanding of the information entering your enterprise

  3. Lower the costs of sorting, organising, and manually tagging documents

  4. Shorten your processing and response time to customer inquiries

Discover more about mailroom automation

See The Platform in Action
Across Different Industries

Every company has different documents and that's why we built a platform where you can customise the data extraction and structuring based on your needs. Here are some examples.

Blue Truck icon

Logistics & Supply Chain

Free your staff from the repetitive and manual processing of your purchase orders and requests of quotation documents and digitise your document management with easy-to-use machine learning.

READ CASE STUDY

blue real estate building icon

Real Estate

Turn documents like purchase agreements and closing disclosures into structured data within seconds or digitise and analyse your properties' energy bills to reduce your carbon footprint and operating costs.

READ CASE STUDY

blue open book icon

Archive Digitisation

Thousands of documents are created and filed - often physically. Acodis offers seamless digitisation and data extraction services to digitise complete archives and transform them into machine-readable forms. 

READ CASE STUDY

heart-medical-2

Pharma & Healthcare

Automating document processing in the health sector gives medical professionals quick access to crucial patient data. It enables scientists to quickly build upon past research to gain new insights and help patients. 

READ CASE STUDY

Bank building icon

Financial Industry

Automating document processing of financial documents like bank statements, loan agreements, and credit reports is helping the financial sector serve their clients more efficiently and with a low error rate.

READ CASE STUDY

Blue scale of justice icon

Legal & Taxes

Digitising legal documentation gives the public sector easy access to specific legal data, preserving historical publications for future generations, and reducing time, effort, and cost.

READ CASE STUDY

Frequently Asked Questions
About Intelligent Document Processing (IDP)

Below are some of the frequently asked questions. 
If you want to know more about intelligent document processing and see examples from different use cases, watch the Webinar: Introduce Machine Learning to Your Documents!

Couldn't find the answer you were looking for? Take a look at the Knowledge Center!

When does it make sense to use Acodis?
  • If you process different document layouts. An example could include: if the product number is not always in the same location, the use of machine learning is necessary.
  • When it comes to differentiating one six-digit number from another six-digit number. Thanks to Acodis, content can be read and classified in seconds. 
  • You want your own machine learning model. Acodis also offers you the opportunity to optimise a pre-trained ML model yourself and tailor it to your needs.
  • In document processing, it's best to receive the highest quality results with reliable precision. Acodis always offers you the option of a manual quality check for peace of mind.
What document formats can you handle with IDP?

We can work with anything that can be transformed into a PDF. Therefore, we can handle paper, Scans, PDFs and any other electronic format.

What languages do you support?

Anything that is read from top left to bottom right. If you would like to process any other language, please contact us.

What should you look out for when evaluating the right tool?
  • Can all present and future layouts be edited automatically?
  • Is it a machine learning system or a simple rule-based system?
  • Data protection: who has access to your machine learning model?
  • How easy is the software for your future users to operate?
  • Demo: were you able to test all of the required features, or are they merely promises?
How is my sensitive data stored?

We do not store any customer data for longer than it takes to process the document.

Can the extracted data be validated automatically?

Yes, the extracted data points can be validated automatically against customer-specific reference data or business rules.