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How Does Intelligent Document Processing (IDP) Work?
80% of data is locked in PDF or Word documents, holding highly valuable information. With the Acodis Platform, businesses can finally unlock and use data from complex documents.
1. Imports Your Documents
The Acodis IDP Platform automatically imports your documents through your desired channels. (e.g. Email, Rest-API, FTP Server)
2. Categorizes Your Documents
The platform then automatically categorizes incoming documents and prepares them for processing exactly as you would.
3. Extracts & Labels Data
Then the platform extracts and labels the specific data you want to export from any document according to your specifications.
4. Validates Your Data’s Accuracy
The platform also validates every piece of extracted data and cross-references it with the parameters you define. If the data doesn’t meet your validation parameters, the human-in-the-loop functions support you to review the data.
5. Exports Data in a Structured Format
Finally, the platform transforms all the extracted data into the structured data format of your choice (e.g., JSON or XML) and exports the data to your desired location for downstream consumption.
What Is Intelligent Document Processing
What Is Intelligent Document Processing (IDP)?
IDP is a solution that transforms unstructured information from your documents into structured 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.
Intelligent Document Processing (IDP) Features
-
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
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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)?
What Is Intelligent Document Processing (IDP)?
IDP is a solution that transforms unstructured information from your documents into structured 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.
Intelligent Document Processing (IDP) Features
Intelligent Document Processing (IDP) Features
-
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
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?
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
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?