Ensure Accuracy with Pixls Invoice OCR

Extract the data from your invoices with pixls Gen AI enabled Invoice OCR API. You can extract invoices on a large scale within no time.

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What is Pixl’s Invoice OCR Software

Invoice OCR serves as software interfaces, enabling developers to simply incorporate OCR capabilities into their services for extracting data from invoices. Our OCR technology empowers Generative AI to identify and extract information from invoice documents, thereby facilitating the transformation of invoice images into editable and searchable digital formats. You can use various prompts to extract data from any invoices. Machine learning algorithms are employed to improve data extraction accuracy. These algorithms learn to recognize patterns and adapt to variations in invoices, ensuring that data is accurately captured. AI also assists in context recognition. For example, it can identify key information such as invoice numbers, dates, and vendor details, even when the formatting varies from one invoice to another. This adaptability is crucial in handling diverse invoice formats.

AI enabled data extraction with high accuracy

Take advantage of our meticulously tested OCR APIs, meticulously trained on extensive document datasets. This ensures exceptional accuracy and reliability right from the outset.

Capture data from any source

Effortlessly collect and import data from a wide array of origins and file types, including images, PDFs, scanned documents, physical paper records, emails, cloud storage services, APIs, and beyond.

Simplify workflows and operations

Invoice OCR simplifies workflow by automating the extraction of data from invoices, significantly reducing manual data entry and associated errors.

Invoice Annotation And Training

Invoice annotation and training involve the task of labeling and categorizing information extracted from invoices. This process is carried out to develop a machine learning model with the ability to recognize and extract data from new invoices.


Our Promising Clients

We value them since we believe they are the foundation and adds success to our business.

DhanLaxmi Bank
South Indian Bank
LuLu Forex
CSB Bank
Muthoot Finance
Indel Money
Canera Bank
Macom Innovate to exel
Muthoot Capital Services Limited
Omnex systems
Renault Nissan

What is invoice annotation

Invoice annotation is the process of adding labels, annotations, or contextual information to the content of invoices to make it more understandable and interpretable by both humans and automated systems. The different annotation techniques are


Textual annotation

Textual annotations refer to the practice of including written comments or notes in specific sections of an invoice.


Visual annotation

Visual annotations entail the use of shapes, lines, or symbols to mark or emphasize particular sections on an invoice.

Working of Invoice OCR API

Invoice OCR (Optical Character Recognition) with LLM and Generative AI involves the use of advanced technologies to automate the extraction and processing of information from invoices. Here's how it works:

Scanning or Uploading

Invoices are scanned or digitally uploaded into a system that can process OCR.

Image Processing

The OCR software processes the invoice image, converting the text within the image into machine-readable text.

Table Detection

The software identifies and locates tables within the invoice. This involves detecting rows, columns, and cell structures.

Character Recognition

The OCR engine then reads the text within the table cells, recognizing the characters and numbers present.

Data Extraction

The recognized characters are processed and interpreted, resulting in the extraction of structured data. This includes information like item names, quantities, prices, and totals. Prompt based extractions are also supported.

Validation and Correction

Some OCR systems offer validation and correction features to improve accuracy. Users can review and correct any misinterpreted data.

Data Integration

The extracted data is integrated into the organization’s systems, such as accounting software or databases, for further processing, analysis, and record-keeping.


Fields that can be Extracted

Save your valuable time by avoiding the hassle of training a brand new invoice OCR model. Our solution is already equipped with advanced capabilities to accurately identify a diverse range of invoice fields.



Invoice number
PO number
Vendor/Buyer name
Vendor/Buyer Address
Vendor/Buyer Phone
Vendor/Buyer email
Payment Method
Tax ID
Bank name
Bank code
and many more fields!

Benefits of using Pixl Invoice OCR Software

Reducing Manual Data Entry

One of the most significant benefits of AI-Enabled Invoice OCR technology is the elimination of laborious manual data entry. With OCR, invoices can be scanned and automatically populated into accounting systems, saving countless hours and minimizing the risk of human error.

Accelerating Invoice Verification

Furthermore, the technology facilitates rapid invoice verification by cross-referencing the extracted data with predefined criteria, ensuring that invoices are accurate and comply with company policies. This acceleration is a boon for businesses dealing with a high volume of invoices.

Detecting Discrepancies and Anomalies

In addition to reducing errors, AI-Enabled Invoice OCR can detect discrepancies and anomalies within invoices. This proactive approach helps businesses avoid costly oversights and ensures that every invoice aligns with predefined standards.

Cloud-Based Solution

The accessibility of invoice data is no longer limited to a specific physical location. Cloud-based AI-Enabled Invoice OCR solutions enable businesses to access and manage their invoices from anywhere, promoting flexibility and remote work

Integration with Existing Systems

These systems seamlessly integrate with existing financial and accounting software, ensuring a smooth transition and minimal disruption to your current operations.

Ensuring Regulatory Compliance

In the modern regulatory landscape, compliance is paramount. AI-Enabled Invoice OCR technology aids in ensuring that all invoices adhere to the latest financial regulations and reporting standards.

Data-Driven Decision Making

The ability to derive insights from financial data empowers organizations to make data-driven decisions, ultimately contributing to their growth and financial stability.

Frequently Asked Questions

These solutions offer benefits such as automated data entry, reduced errors, streamlined approval workflows, and significant cost savings.

AI-Enabled solutions prioritize data security and often include encryption and access controls. They are designed to comply with data privacy regulations.

AI-Enabled Invoice OCR is designed to handle various formats and languages. It uses machine learning to adapt to diverse document structures and can recognize text in multiple languages, making it versatile for global use.

AI-Enabled Invoice OCR primarily focuses on printed or typed text. While it can handle some handwritten text recognition, it may not be as accurate as with printed text. Handwriting recognition technology is a separate field.

Yes, many AI-Enabled Invoice OCR solutions are designed to integrate seamlessly with popular accounting and Enterprise Resource Planning (ERP) software. This compatibility streamlines data transfer and ensures efficient use of the technology.

Implementation timelines can vary based on the complexity of the organization's needs. Generally, it can take a few weeks to several months, depending on factors like data volume, customization, and training requirements.

Security is a top priority for these systems. Data is often encrypted, and measures are in place to protect sensitive financial information from unauthorized access. Additionally, compliance with data protection regulations is commonly observed.