Best Intelligent Document Processing (IDP) Software - Page 13

Convert PDF to Google Sheets,CSV: Bank Statement

Convert PDF to Google Sheets and CSV in 1 click. Extract any tabular data from PDF or Image, with a Table OCR that lives inside Google Sheets as a sidebar. This add-on works as a sidebar inside Google Sheets and lets you import bank statements, invoices, reports or any other tabular data from a PDF or image, and with a single click, get that data on the active spreadsheet in a minute. PERFECT FOR ✅ Bookkeepers – enter invoice/bill tables into Google Sheets ✅ Accountants – convert financial statements to editable data ✅ Data entry operators – avoid manual typing ✅ Operations / back-office – process vendor documents ✅ Finance analysts – analyze tabular data from PDFs ✅ Procurement teams – digitize purchase orders ✅ Admin assistants – handle document-to-sheet tasks ✅ Small business owners – manage bills without staff ✅ Auditors – extract tables from reports WHY THIS ADDON ✅ 1-click automation of tabular data entry, directly inside Google Sheets. ✅ Uses advanced AI model for accurate table extraction ✅ Preserves columns, rows and layout ✅ No data stored permanently - full privacy ✅ Responsive support in case of any queries or assistance. ✅ Reasonable pricing

ConvertUniverse

ConvertUniverse is a scriptless, privacy-first document automation platform built for operations teams. It replaces repetitive manual data entry and single-file conversions with a powerful, drag-and-drop visual workflow builder. Instead of performing manual operations on files one by one, ConvertUniverse empowers you to visually chain multiple actions into automated pipelines. Build workflows that automatically fetch files, run deep AI OCR to extract structured invoice data, merge assets, apply password protection, and route the final documents to your cloud storage in seconds. Core Capabilities: Visual Workflow Builder: A node-based canvas for complex document operations, automated PDF signing, multi-step format conversions, and custom data extraction. Zero coding required. Zero-Retention Privacy: Engineered with a secure, client-side-first processing architecture and direct-to-storage serverless functions. Your sensitive business documents never sit vulnerable on external servers. Secure Google Ecosystem Integration: Deep integration via secure Google OAuth allows you to securely authenticate, fetch, process, and route documents directly to your workspace without vulnerable, clunky downloads. Standalone Execution Tools: For rapid, single-step operations, bypass the workflow engine and use our 50+ instant micro-tools to merge, split, compress, or convert (PDF to JSON, Markdown, Excel, etc.) on the fly. ConvertUniverse is the modern operational standard to handle massive document batches securely, quickly, and without writing a single line of script.

Coral AI

CoreForce

CoreForce is an AI-Powered B2B Automation Ecosystem for Document Intelligence. It is built for Accounts Payable, Accounts Receivable, Finance, and Procurement teams.

CoreTechX

CoreTechX’s Handwritten Arabic to PDF & Template Integration System is an advanced AI-driven solution designed to revolutionize document digitization and structured data extraction. By leveraging a combination of multi-layered Optical Character Recognition (OCR), natural language processing (NLP), and intelligent template processing, the system enables precise transcription, structured organization, and seamless document integration into standardized digital formats. This solution is purpose-built for government institutions, historical archives, and enterprises managing large-scale Arabic handwritten documentation. The system ensures exceptional accuracy, efficiency, and compliance, supporting the increasing need for institutions to transition from paper-based archives to structured, AI-enhanced digital ecosystems. With deep-learning models, linguistic expertise, and automation, CoreTechX provides a scalable, highly efficient method for transcribing and structuring handwritten content while ensuring data integrity and security.

Cortical.io SemanticPro Classify & Automate

Cortical.io delivers AI-based Natural Language Understanding (NLU) solutions which are quicker and easier to implement and more capable than current approaches. The company’s patented method, inspired by neuroscience, enables enterprises to more effectively search, extract, annotate and analyze key information from any kind of unstructured text. Cortical.io Message Intelligence is an out-of-the-box solution that filters, classifies, and routes streams of messages in real time at a massive scale. It comes as a pre-packaged solution with pre-built filters and classifiers that can be immediately applied to high volume message streams in an enterprise environment. Key differentiators of Cortical.io Message Intelligence are: - Human-level accuracy: The combination of keyword and semantic filters that recognize sentences with similar meaning but different phrasing enables Message Intelligence to process messages with the same quality of a human. - Orders-of-magnitude performance increase: Fast processing inherent to Cortical.io NLU approach comes close to real-time processing when combined with Xilinx accelerating hardware. - Short time to production: Custom filters and classifiers can be easily created with little training material and no need for AI or NLU expertise. - Over 100x faster: Benchmarking results show that Message Intelligence vastly outperforms other approaches in terms of speed – with much less training efforts required.

CreditCardToExcel

CreditCardToExcel is an AI-powered document conversion tool that transforms credit card statement PDFs into structured Excel and CSV files — automatically, in seconds, without any manual data entry. The Problem It Solves Every month, millions of accountants, bookkeepers, freelancers, and small business owners spend hours re-entering credit card transactions by hand. The data is locked in PDFs from Chase, American Express, Capital One, Bank of America, Citi, Wells Fargo, Discover, and US Bank — and getting it into a spreadsheet means either typing each row manually or paying for expensive document AI platforms that require complex setup. CreditCardToExcel eliminates that work entirely. How It Works 1. Upload your credit card statement PDF (or up to 20 files at once on Business plan) 2. Google Gemini AI reads and extracts every transaction: date, merchant name, transaction amount, and spending category 3. Download a clean, structured Excel (.xlsx) or CSV file — ready for QuickBooks, Xero, Wave, FreshBooks, or any accounting tool The entire process takes under 10 seconds per statement. No setup, no templates, no training. Key Capabilities - Supports all major US credit card issuers: Chase, American Express, Capital One, Bank of America, Citi, Wells Fargo, Discover, US Bank - Handles password-protected PDFs (common with bank-issued statements) - Auto-categorizes transactions into spending categories (groceries, dining, travel, utilities, etc.) - Batch processing: convert up to 20 statements simultaneously - Multiple export formats: Excel (.xlsx) and CSV (individual or ZIP bundle for batch) - Secure: files are processed server-side and not stored after extraction - No installation required — runs entirely in the browser Who Uses It - Freelancers and self-employed: Quickly pull expense data for quarterly estimated taxes or Schedule C - Small business owners: Reconcile credit card statements against bank feeds in QuickBooks or Xero - Accountants and bookkeepers: Process client statements in bulk; reduce manual entry errors - Finance teams: Standardize transaction data from multiple cards into a single Excel format for analysis Pricing - Free: 3 conversions/month (no credit card required) - Pro: $19/month — 30 conversions, batch up to 5 files - Business: $49/month — 100 conversions, batch up to 20 files Built on Next.js and Google Gemini 2.0 Flash. Payments handled by Paddle (Merchant of Record — VAT/sales tax handled globally). KEY FEATURES (add each as a separate feature entry): 1. AI-powered PDF extraction (Google Gemini 2.0 Flash) 2. Excel (.xlsx) and CSV export 3. Password-protected PDF support 4. Batch processing (up to 20 files simultaneously) 5. Auto transaction categorization (30+ spending categories) 6. Supports 8 major US credit card issuers 7. No installation required — browser-based 8. QuickBooks, Xero, Wave, FreshBooks compatible output

CredStack

CredStack.ai is an AI-powered underwriting and due-diligence platform built for banks, NBFCs, and financial institutions. It automates the traditionally manual process of reviewing loan applications, verifying documents, and assessing credit risk. Instead of relying on large credit teams to manually analyze documents and data, CredStack uses agentic AI to ingest documents, extract key parameters, cross-verify information, and generate credit-ready insights within minutes. In a typical loan process, lenders collect 20–50 documents such as bank statements, income proofs, property papers, and credit bureau reports. These are manually reviewed and entered into systems, which can take several hours per application and often leads to inconsistencies or delays. CredStack automates this workflow by intelligently classifying documents, extracting structured data from unstructured files, and analyzing over 130 credit, legal, and operational parameters required for underwriting. The platform also enables lenders to encode their internal credit policies using a configurable workflow builder. AI agents then apply these rules, identify discrepancies, generate risk alerts, and produce explainable credit summaries or Credit Appraisal Memos (CAMs) for final approval by credit officers. By reducing manual work and standardizing decision logic, CredStack improves underwriting speed, accuracy, and scalability. The system can reduce processing time from hours to minutes, increase automation to over 90%, and allow financial institutions to process significantly more loan applications with the same team while maintaining strong auditability and compliance.

Cross Check AI

Cross-Check AI is an advanced, fully customisable artificial intelligence and machine learning system designed to validate, cross-check, match, contextually reference, calculate, and resolve data discrepancies across multiple datasets. It intelligently analyses and compares documents, databases, images, and audio files identifying inconsistencies, mismatches, contextual errors, and structural variations within and across content.

Čtení Faktur

Czech accountants still retype invoices. A supplier sends a PDF, and someone keys the header, the line items and the VAT breakdown into Pohoda or Money S3 by hand. Čtení Faktur removes that step. Upload a PDF invoice, a receipt or a photo of a paper document. The app reads the data, checks it against Czech VAT rules, and writes a file your accounting software imports: ISDOC, the accounting system's own format (Pohoda XML, Money S3 XML, ABRA Flexi XML, MRP, DUEL, KASTNER Stereo, Vario, Účto) or CSV. Bank statements work the same way. A PDF statement becomes GPC (ABO), the format Czech accounting systems import, or SEPA XML (camt.053) for foreign accounts. Čtení Faktur is built for Czech documents. It reads the registration number (IČO) and the VAT number (DIČ) and checks them against the public ARES register. It handles reverse charge, rounding differences and several VAT rates on one document, and it generates SPAYD payment QR codes. An accounting firm keeps every client as a separate accounting unit, each with its own target system and export settings, and the whole team works in one shared workspace. Documents are stored and processed inside the EU, and they are never used to train AI models.

CV-Transformer

CV-Transformer is a resume-standardization software solution designed for recruitment agencies and talent teams that need to convert varied candidate resumes into structured, uniform CVs for internal review and client submission. It is commonly used in workflows where incoming documents differ in format, language or quality, and where consistent output is required across multiple recruiters or teams. CV-Transformer is developed and maintained by a small, distributed European team that began building the product after identifying recurring formatting challenges in agency recruitment. The company focuses on practical automation rather than large-scale applicant tracking, and the software is designed to integrate with existing tools rather than replace them. Although compact in size, the team prioritizes iterative improvements based on recruiter feedback and real-world usage patterns. Key aspects of the platform include: - Independent software provider based in Europe with a small, specialized product team - Focus on resume processing workflows rather than full ATS functionality - Designed to fit into existing recruitment systems and daily operations - Built through ongoing feedback from recruiters and hiring teams The core functionality of CV-Transformer centers on parsing, structuring and exporting candidate information. Incoming resumes are analyzed to extract experience, skills, education and personal details. Users can edit this data, rearrange sections and apply standardized templates that match organizational formatting guidelines. The system supports integrations with JobAdder, Greenhouse and Salesforce, allowing automated intake of candidate documents. Output can be generated as PDFs or shareable online profiles. Primary product features include: - Automated parsing and structuring of resume content - Customizable templates for consistent layout and formatting - Manual review and editing interface for recruiter oversight - Integrations with common ATS and CRM platforms - Export options for both static and web-based profiles CV-Transformer addresses the operational problem of resume inconsistency, which can slow down candidate submissions and reduce clarity for hiring managers. By providing a standard output format, the software helps teams maintain uniform documentation and reduce the manual effort associated with reformatting incoming resumes. It is particularly useful in high-volume environments or in teams where multiple recruiters contribute to the same client-facing materials. Key user values include: - Reduction of time spent reformatting candidate resumes - Consistent presentation standards across recruiters and departments - Improved clarity for clients reviewing candidate profiles - Streamlined workflows for teams handling diverse resume formats

dara®

The cloud software dara® leverages Intelligent Data Interchange (IDI) to fulfill the unrealized promise of EDI by enabling scalable connections and automating document exchange. This increases the automation level in document processing from ~15% to over 90%. Thus, dara® relieves employees and frees up professionals for value-adding tasks. Additionally, lengthy integration projects become obsolete, as passive connectivity is possible without active partner involvement.

Datagraphic

Datagraphic is a UK-based SaaS company specialising in secure document automation. Our cloud-based platforms enable organisations to manage and deliver high-volume, time-critical, personalised documents both digitally and in print. We support public and private sector teams with tools like Epay (for secure employee document delivery) and Aceni (for hybrid mail and operational print), integrating seamlessly with legacy systems to modernise communication workflows. Built with a focus on compliance, data security, and scalability, our solutions help HR, payroll, and operations teams automate document delivery, reduce print overheads, and improve communication accuracy.

Datakeen

Dataku

Dataku is an advanced AI-powered document extraction service, designed to efficiently process and analyze large volumes of documents, utilizing cutting-edge technology and machine learning.