"When it comes to data extraction, Acodis is doubtlessly the right place to go"
Source: Reviews on G2.com
Max Keller
Lead Funk RiskLab
"OCR, Data-Extraction & AI - perfectly done on business documents like contracts"
Source: Reviews on G2.com
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)
Some of Our Clients
How Enterprises Use Acodis
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.
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.
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.
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.
AI-Powered Features
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.
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.
AI-Driven Accuracy
Get automatic indications of which document categories and labelled data points require review.
Custom Validation
Define a set of parameters for your ML models for additional assurance that your data points are extracted with ultimate accuracy.
Integrate with Your Favourite Apps
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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)
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Automated extraction of unstructured/semi-structured data
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Eliminates manual data entry
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Fast implementation and easy integrations with other systems
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Powered by AI and machine learning technology
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Fastest and most accurate data extraction from any document
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Available for any language
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Connects to existing RPA systems
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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.
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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
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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
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
Contracts
Contracts hold valuable information but are typically hard to access. IDP classifies, extracts and validates contracts.
Typically IDP solves the following three issues:
- Search for specific issues or provisions within documents and get the relevant clauses and even sub-clauses that you're looking for.
- Detect the similarities and differences between documents such as employment contracts for comparisons.
- Search for specific values relating to particular issues within the document (property lease search, extract & normalise termination dates and insurance requirements).
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.
Read more about why every day can be a Friday - with automated invoices processing, using IDP.
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:
- Make information faster available to initiate, support, and complete transactions
- Gain a real-time understanding of the information entering your enterprise
- Lower the costs of sorting, organising, and manually tagging documents
- Shorten your processing and response time to customer inquiries
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.
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.
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.
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.
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.
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.
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.
