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Intelligent Document Processing

Smarter Documents, Faster Decisions

Turn documents into actionable data using AI-driven processing that extracts insights, improves accuracy, and streamlines enterprise workflows.

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IntelligentDocumentProcessing

Use Cases for IDP

Discover how intelligent document processing transforms everyday work – from finance and onboarding to compliance and beyond.

idp

Invoice Processing

Intelligent document processing streamlines invoice processing by extracting key information, perform validations, and making entries in ERP or financial systems.

onboarding

Customer Onboarding/KYC

You can easily streamline your online KYC process by utilizing intelligent document processing to automate data extraction.

decision

Logistics Documents

Be it receipt of bills, bill verification or delivery confirmation, you can manage everything and process it in no time with the help intelligent data processing.

Contract & Agreement Processing

Contract & Agreement Processing

Automate extraction of clauses, terms, and key fields from contracts and agreements to reduce manual review and improve accuracy.

Compliance Documents

Compliance Documents

Process regulatory filings, audit documents, and compliance records efficiently while ensuring accuracy, traceability, and consistency.

Forms & Applications

Forms & Applications

Digitize and extract data from structured and unstructured forms to accelerate approvals and reduce processing time across departments.

Stages in Intelligent Document Processing

01

Input

Identify the key inputs for the document processing, including different forms, various test reports, and ID documents in the form of emails, images, docs or PDFs.

02

Pre-Processing

Our experts will start processing covering various aspects such as remove noise, formatting data unstructured data to clean the input files.

03

Detection & Extraction

Identification of the key elements using cropping, segmentation, and various other techniques to detect data and extract using OCR, machine learning or NLP.

04

Post Processing

Post-processing refines extracted data through validation, normalization, and business rule application to ensure accuracy and readiness for system integration.

Meet Your Diverse

Tools That Power Tomorrow’s AI

Icon Hugging

Hugging Face Transformers

Heskell

Haskell

Apache Airflow

Apache Airflow

PyCaret
Scikit Learning

SciketLearning

spaCy
julia
haskell-2

Haskell

Pandas

Pandas

Scala

Scala

Python

Python

gemma

Gemma

ollama

ollama

Mlflow
tensorflow

Tensor Flow

haskell-2

HasKell

NumPy
Keras
Lisp

Lisp

Prolog

Prolog

What Our Clients Say

Why Clients Choose Technomark—Again and Again

Technomark | Givsum

Shawn Wehan

Founder

Givsum

We're thrilled with TechnoMark's exceptional services. As both client and recipient, their results exceeded expectations. Scaling our development team was a challenge, but TechnoMark provided dedicated Full-Time Equivalents (FTEs), seamlessly integrating with our team to take charge of new task development, bug fixes, code reviews, and deployment.

stylegenie

Akash Mutgi

Founder

StyleGenie

We collaborated with TechnoMark to build an AI-powered styling recommendation engine that automates personalized outfit suggestions via seamless WIX API integration. Their expertise in survey analysis, product mapping, and real-time recommendations improved user engagement, scalability, and efficiency while significantly reducing manual intervention and operational effort.

FAQs

Intelligent Document Processing uses AI and machine learning to extract, classify, and validate data from documents. Unlike manual processing, IDP handles unstructured data accurately and at scale, helping organizations reduce errors, improve efficiency, and streamline document-heavy workflows across business functions.

IDP can process invoices, contracts, KYC documents, forms, receipts, shipping documents, and compliance records. It supports both structured and unstructured formats, enabling businesses to automate document handling across finance, logistics, HR, onboarding, and regulatory operations.

The cost depends on document volume, complexity, data formats, and system integrations. Pricing is typically customized based on business needs, ensuring scalable implementation that delivers productivity gains and long-term operational value without unnecessary overhead.

Implementation timelines vary based on document types, workflow complexity, and integration requirements. Some use cases can be deployed incrementally, while enterprise-scale solutions follow phased rollouts to ensure accuracy, stability, and smooth adoption.

Industries such as finance, healthcare, logistics, insurance, and enterprises benefit greatly from IDP. It helps automate data extraction, improve compliance, accelerate processing, and reduce manual workload across document-intensive operations.

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