Accuracy
>90% accuracy across various document types
The AI-powered Document Processing Platform that transforms Complex and Unstructured Inputs into Masterpieces
Designed to build API-driven digital documents that are accurate and integrated
Behind every masterpiece lies a variety of complex, disparate and unstructured elements. Similarly, critical documents with sensitive data need to be processed from a diverse set of complex inputs.
This is where Doc2API comes in. Its AI-based platform works with just about any kind of input of any quality to efficiently produce API driven digital documents that are accurate and integrated into any system at speed and with scale.
About the Platform
In today’s world where digitisation, speed and integration are of the essence and vast amounts of data require processing, there are very few platforms which are accurate, efficient and produce results in real time, that too with Integration as the first approach i.e. converting Documents into APIs.
Doc2API platform, which is a cognitive platform, offers a combination of speed, real-time response and modern architecture. In short, Doc2API is revolutionising the way documents are processed.
If data is the oil, Doc2API is the refinery to capture, process, validate and integrate information to power smarter human decision.
How does it work?
Doc2API is based on our proprietary CDR Graph Technology™
The 5 algorithms of CDR Graph Technology
ensure a seamless variation & complexity handling across all document types.
The CDC - Contextual Document Capture
provides an ensemble of AI pipelines to comprehend and captures entities across images and text from visually rich documents with highest accuracies, going beyond template based OCRs and rule based RPAs
The CQE - Contextual Quality Enhancer
enhances quality of the documents across multiple quality parameters allowing better extraction accuracy and document coverage
The CDI - Contextual Document Identifier
intelligently improves, classifies/identifies documents across various formats and quality standards.
The CDO - Contextual Document Object
provides capabilities to build contextual visual segments and identify the nature of semantic and hierarchical relationships between the entities and help define the normalised document schema for consumption.
The CTD - Contextual Table Detection
A purpose built deep learning model trained on various table structures and complexities to provide multi-page and multi-line capture of table data critical to power the last mile success across various user journeys
Doc2API: An in-depth look
An AI powered, cloud-native intelligent document processing platform
Doc2API is an AI-powered platform that can process data from unstructured, semi-structured, and structured data sources. It leverages key technologies such as AI, ML, NLP and Computer Vision. The processed data is further extracted and analysed for specific use cases and opportunities. Doc2API can capture data out of the input sources such as financial reports, real estate and legal contracts, e-mails, as well as semi-structured and templatised documents like excel spreadsheets, scanned images, pdf documents etc. The captured data from the documents is then exposed as an API by the platform.
Platform Highlights
Efficiency
Increased operational efficiency with a reduced cost
Speed and scale
Optimum response time and scale to manage real-time or backlog operations
Integration
A cloud-native solution that provides seamless integration with the power of APIs
Zero Error Rate and Minimal Human Effort
Delivered through process automation and systematic exception handling
How does it help you?
Document-based workflows are the toughest to crack when aiming to achieve end-to-end automation of a business process. Doc2API is the missing piece in the end-to-end transformation of your business process. The platform has been built ground up, removing the dependency on third party OCR tools and providing complete ownership of delivering accuracy and value to customers.
Accuracy
The platform derives its accuracy from the base models which are trained on the scores of documents of each format. This accuracy of the platform will compound through extensive pre-processing and enhanced input quality.
Speed and Scale
Doc2API is built on a cloud-native, multi-tenant architecture that offers speed and scale, while ensuring security and protection of customer data.
Human in Loop
The Doc2API platform transforms the Operational Team into a Smart Processing Team by enabling it to handle exceptions and thus significantly reduce the turnaround time and improve the productivity of the team.
Efficiency
By operationalizing Doc2API in the system, the throughput increases greatly as the operation overheads reduce by over 50%
Integration
Doc2API provides seamless integration capabilities using powerful APIs which easily pair with upstream or downstream systems. Doc2API also offers to normalise the output according to the data schema required by the customer.
Challenges
Document-based workflows are the toughest to crack when aiming to achieve end-to-end automation of a business process. Doc2API is the missing piece in the end-to-end transformation of your business process. The platform has been built ground up, removing the dependency on third party OCR tools and providing complete ownership of delivering accuracy and value to customers.
- Bad quality of scanned documents
- Heterogeneity in documents
- Multi-page documents
A Global Problem: Messy data, Cost Intensive and Time Consuming Processes
A scanned document can vary in terms of quality and that is why Doc2API has an additional layer, one that pre-processes a document. It improves a document by addressing common quality issues such as image noise, skewness, orientation and pixelated images. The pre-processing layer helps the AI-ML engine easily identify, classify and extract data, producing a more accurate output.
Documents submitted by the customers can range from Passports to ID cards, application forms to declarations. Owing to this, data documents often are in various formats at the time of output. To overcome this, Doc2API has a classification model which identifies the various document types from the uploaded files, even if a document has been uploaded as part of a single PDF file. This model splits the uploaded file into different document types, thus overcoming the practical challenge of ordering and sorting of the pages in the scanned file for further processing.
Doc2API allows for relevant target data to be located anywhere in the document, especially if it involves multiple pages. Since the classification model sorts and orders the document and since the trained model intelligently identifies where the data has to be picked from, the extraction model can be roped in, to contextually distill the data at field, table, checkbox and sectional levels.
To help keep the rate of error in check, Doc2API has a ‘Human in Loop’ operation with an intuitive point and click user interface. This operation can track exceptions in the dedicated pipeline that serves as a feedback loop and the Machine Learning model is retrained based on user inputs which improves accuracy over time.
Ready when you are!
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