Limited set focused on invoices & regulatory docs.
Generic pre-trained models only.
Limited set of specialized models.
Training Custom Models
Train with just 10 sample docs.
Needs AWS expertise; complex for non-technical users.
Possible but complex.
Requires IT help; very complex.
Complex to customize.
Time-consuming; needs ≥ 200 samples.
Document Reviewer
Premium UI with customizable fields.
Clean & easy UI (customizable).
Clean & easy UI (customizable).
Overwhelming UI; steep learning curve.
Clean & easy UI (customizable).
Clean & easy UI (customizable).
GenAI Document Summarizer
–
–
Data Extraction from Large PDFs
Accurate on 50 + page docs.
Very slow on large docs.
Handles batches but slow.
Lengthy processing time.
Blocks files > 100 MB.
Blocks files > 20 MB.
Duplicate File Detection
–
–
–
Accuracy
95–99 %
93 %
93 %
82 %
85 %
88 %
Import & Export
API Access
Webhooks Access
–
–
Custom Integrations
10 + pre-built app integrations.
Complex to set up.
Complex to set up.
10 + app integrations.
Limited integrations.
30 + app integrations.
Data Validation
Custom Formulae
–
–
–
–
Post-Processing with Custom Code
–
–
–
Master Data Lookup
–
–
–
–
Analytics
Document Processing Dashboard
Detailed reporting on usage, accuracy & time-savings.
No dashboard.
No dashboard.
No dashboard.
Basic dashboard.
Basic dashboard.
Auto-Categorization
–
–
–
–
Workflow
Assign Users for Review
–
–
–
Support
Dedicated Account Manager
1 : 1 consultation with an automation expert.
Extra cost.
Extra cost.
Extra cost.
Included in higher-tier plans.
Not available.
Amazon Textract
Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, layout elements, and data from scanned documents. Unlike basic OCR, it can identify, interpret, and retrieve specific data from documents.
Key Features
Automatically detects and extracts printed and handwritten text from documents.
Identifies and extracts key-value pairs, preserving context-like fields and their values.
Extracts table data while maintaining the structure of rows and columns.
Recognizes layout elements like paragraphs, titles, and headers for better document understanding.
Allows query-based extraction, retrieving specific data using natural language queries.
Things to Consider
Automatically detects and extracts printed and handwritten text from documents.
Identifies and extracts key-value pairs, preserving context-like fields and their values.
Extracts table data while maintaining the structure of rows and columns.
Recognizes layout elements like paragraphs, titles, and headers for better document understanding.
Allows query-based extraction, retrieving specific data using natural language queries.
Pricing
Amazon Textract offers a pay-as-you-go pricing model, with rates varying based on the specific API used and the number of pages processed. The basic plan for 1,000 pages begins from $1.50 per page.
Google Document AI
Google Document AI extracts structured data from documents, allowing for efficient analysis, search, and storage. The Document AI suite includes pre-trained models for data extraction, the Document AI Workbench for creating custom models or enhancing existing ones, and the Document AI Warehouse for searching and storing documents.
Key Features
Transforms scanned images and PDFs into searchable, editable text with OCR.
Extracts key-value pairs and table data from structured forms.
Categorizes documents using machine learning for efficient organization.
Things to Consider
Some documentation is outdated or ambiguous, with limited code examples for various use cases.
Instructions for training models are unclear, especially for non-technical users.
Multilingual support is minimal.
Data extraction from PDFs can sometimes be inaccurate, requiring manual retraining.
Pricing
Google Document AI offers a pay-as-you-go pricing model. Basic OCR starts at $1.50 per 1,000 pages, with additional costs for more advanced features that come with the different processors.
ABBYY Flexicapture for Invoices
ABBYY Flexicapture for Invoices is an invoice data extraction application that is known for its efficiency in digitizing, editing, and managing PDFs and scanned invoices. It offers a graphical interface that allows users to scan documents, import them, and apply OCR to them.
Key Features
Utilizes AI-powered OCR for highly accurate text recognition.
Supports a wide range of document formats.
Comprehensive tools for editing and managing PDFs.
Designed to meet the needs of both businesses and individual users.
Things to Consider
Some advanced features may have a steeper learning curve for users.
The pricing can be higher compared to more basic OCR solutions.
Pricing
ABBYY offers only custom subscription plans for the FlexiCapture solution, catering to businesses and individual’s requirements.
Tungsten InvoiceAgility
Tungsten InvoiceAgility is a comprehensive invoice processing platform that combines data extraction, workflow automation, and AI-driven insights to streamline business processes.
Key Features
Advanced OCR and intelligent document processing capabilities for extracting data from various document types.
Low-code/no-code workflow automation tools for designing and implementing complex business processes.
AI and machine learning integration for enhanced data extraction and process optimization.
Things to Consider
Some users report occasional technical glitches and system restarts.
The learning curve can be steep for non-technical users, especially for advanced features.
Pricing may be higher compared to some competitors, particularly for cloud-based versions.
Documentation and training resources could be improved for easier adoption.
Pricing
Tungsten InvoiceAgility offers customized pricing based on specific business needs and deployment options.
DocSumo
Docsumo uses Intelligent Document Processing (IDP) technology to transform unstructured invoice data into structured, machine-readable formats. The vendor positions the product around “95 %+ straight-through processing” and Excel-style rule-based validation, with both a no-code web UI and developer-friendly REST / webhook APIs
Key Features
Wide library of pre-trained templates for common financial and operational documents (invoices, loan files, pay stubs, ID cards, utility bills, etc.)
Custom model training with small samples – users can spin up a new document type without writing code; reviewers highlight rapid tuning compared with other IDP tools.
Structured table & line-item capture that preserves row/column integrity for export to spreadsheets or databases.
Rich integration surface: REST API, real-time webhooks and 30 + pre-built connectors for downstream apps.
Things to Consider
Learning curve & implementation effort – a minority of G2 reviewers cite “learning difficulty” or the need for “constant adjustments,” especially during the first weeks of setup
Edge-case accuracy can dip when documents deviate heavily from trained templates; users handling very diverse invoice layouts report occasional mis-classification and manual fixes.
Document-type coverage is growing but not exhaustive; reviewers mention a desire for broader template support beyond the current catalogue.
Pricing
DocSumo pricing starts at $149/month for 1,000 pages.
Four Ways Lido Automates the Invoice Processing Workflow
Invoice data extractor
[]
Example: Extracted data customized with user-defined rules.
Invoice data extractor
[]
Example: Extracted data customized with user-defined rules.
Invoice data extractor
[]
Example: Extracted data customized with user-defined rules.
Invoice data extractor
[]
Example: Extracted data customized with user-defined rules.
How Does an Invoice Processing Platform Work in Different Scenarios?
For Invoice Images
[]
Example: Extracted data customized with user-defined rules.
For Structured Invoices
[]
Example: Extracted data customized with user-defined rules.
For Unstructured Invoices
[]
Example: Extracted data customized with user-defined rules.
Nine Must-have Features in Your Invoice Processing App
1. Pre-Processing
OCR: Extracts high-fidelity text from images and scanned invoices, across diverse languages for document text extraction.
Auto-split: Automatically splits invoices into separate sections. This is handled by implementing rule-based logic to segment the files automatically.
Auto-classify: Automatically determines document type using an ML-based classifier to extract key features from the invoice.
Auto-orientation: Uses image processing techniques to detect and correct the orientation of invoices and images to analyze the input data effectively.
Image quality check: Leverages ML and computer vision techniques to improve the quality of images through image enhancement algorithms (e.g., auto-brightness, contrast adjustment, and noise removal).
2. Document Data Extraction & Review
Extraction via LLM (Large language model): Uses state-of-the-art AI models and transformer-based architectures capable of deeply analyzing unstructured data.
Pre-trained models: Offers AI models already trained on a data set of varied invoice layouts. Uses expert models trained on generic use cases for the highest accuracy.
Training custom models: Allows users to train their customized AI models on specific invoice data extraction use cases for best accuracy.
AI assist for key values & tables: Uses AI-driven pre-trained models to extract table data on the go, with minimal setup and effort.
Email parsing: Extracts fields and tables from email attachments using NLP techniques to extract structured data from email header, body, and attachments.
Few-shot learning: Helps ML models adapt to new data types with minimal training examples to improve accuracy.
Gen AI document summarizer: AI-assisted chat feature for data interaction and summary using LLMs and RAG-based applications.
3. Processing Capacity & Priority
Extract 20+ pages per document: Supports large document data extraction efficiently without a drop in performance or throughput.
Priority queue on processing: Allows faster invoice processing for exclusive users, effective for high-demand and low-latency scenarios.
4. Import & Export
Export: Supports flexible data export, supporting exporting data in CSV, Excel, and JSON formats.
APIs and webhooks access: Uses REST APIs and webhooks for programmatic interaction and event-driven workflows with minimal human touchpoints.
Native integrations: Enables seamless connectivity with upstream and downstream systems, ensuring smooth ingestion and export of data across workflows.
Custom integrations: Provides connectivity with bespoke applications, offering flexibility to integrate systems that do not fall under standard native integrations. Modern platforms like Docsumo use Document AI to reduce the time needed for integration.
6. Analytics
Document processing dashboard: Provides performance overview through the post-processing reporting dashboard with details on platform usage and data extraction accuracy metrics.
7. Workflow
Alerts and notifications: Get real-time alerts for validation errors or successful processing milestones via Slack, Gmail, or other communication tools.
8. Support
Support channels: Exclusive access to the customer success team to ensure uninterrupted success via email or chat.
9. Security & Compliance
Authentication: Ability to set up a social authentication process for the account.
Best Practices To Maximize the Potential of an Invoice Processing Solution
Ensure high-quality data input
[]
Example: Extracted data customized with user-defined rules.
Leverage advanced OCR and NLP capabilities
[]
Example: AI Email Parser
Configure custom extraction models
[]
Example: AI Email Parser
Implement robust validation and error handling
[]
Example: AI Email Parser
Maximize Straight-Through Processing (STP)
[]
Example: AI Email Parser
Integrate with existing systems
[]
Example: AI Email Parser
FAQs
What is OCR in invoice processing?
OCR (Optical Character Recognition) in invoice processing refers to the technology that automatically extracts and converts text from scanned invoices, PDFs, or image files into structured, machine-readable data. This eliminates the need for manual data entry, speeds up the invoice handling process, and reduces errors.
How does Lido automate invoice processing?
Automating invoice processing involves using OCR technology to extract data from invoices, followed by integration with accounting or ERP systems to automatically populate relevant fields, route invoices for approval, and schedule payments. The process can be enhanced further with AI and machine learning for unstructured data and custom workflows.
How does OCR invoice processing improve efficiency in handling scanned documents?
OCR invoice processing enhances efficiency by reducing the time spent on manual data entry and verification. It automatically extracts data from scanned invoices, eliminates human errors, and allows for faster validation and approval. By automating repetitive tasks, OCR speeds up the overall payment cycle and ensures timely invoice handling.
What are the critical differences between simple OCR and ICR for invoice processing?
Simple OCR is designed to extract printed or typed text from documents, while Intelligent Character Recognition (ICR) is an advanced form of OCR that can recognize and process handwritten text. ICR is particularly useful for processing forms or invoices that include handwritten information, offering more flexibility in document recognition.
What are the potential applications of OCR technology beyond invoice processing?
Beyond invoice processing, OCR technology can be used in a wide range of applications, including digitizing paper records, extracting data from contracts, converting printed books or documents into digital formats, processing forms, and automating data entry in industries such as healthcare, legal, and finance.
.png)
.png)
-min.png)
