Optical Character Recognition Solution

Understand Document

Use AI read unseen, semi-structured document that don’t follow a standart template like generic OCR software

Slash Turn Arround Time

Eliminate tedious data entry so your team can save time and focus on what’s important.

Validate Extracted Data

Quickly validate data captured from the document and the AI learns and improves as your usage multiplies

Capture Only What You Want

Keep your data clean and crisp – upload unstructured invoice from multiple customers but only extract fields you need. You can also add new fields if required

AI That Learn With Every New Document

As your business grows , the more transaction and the more data you will deal with. The model keeps learning and will be able to understand and capture data with higher accuracy each time new documents are processed

Seamlessly Upload Documents and Data

Customers send you document only via email? Nanonets supports platforms you can directly import from or export to your existing workflow without disrupting your system.

DISCOVER OUR PRODUCTS

Explore Nanonets Solutions

Invoice Processing

Real-time data extraction from unstructured invoices, bills & receipts down to SKU level line-items, into standardised JSON. No template setup required. Turn your AP team into a driver of efficiency and grow.

Automated Table Extraction

Table OCR (Optical Character Recognition) is a technology that utilizes machine learning and artificial intelligence algorithms to extract data from tables in various formats, such as scanned images or PDF documents.

Receipt OCR

Receipt OCR uses AI & ML to auto-extract meaningful data fields such as sale price, total price, tax rate, tax amount, merchant name, date, discount & more from scanned receipts.

Automation Inspiration

Power your business across the globe – whether you manage finances, provide online delivery service or use software robots to perform repetitive tasks.

Documents Supported

Invoice or Receipts Document

Delivery Notes or Purchase Order Document

Tax Documents

Bill of Lading

KEY FEATURES

Why Choose Nanonets OCR

Capture data from any source

Capture or import data from any source or in any format including, image, PDFs, scans, paper document, emails,cloud storage, APIs and more

Extract data with superior accuracy

Our OCR APIs have been rigorously tested and pre-trained on million of documents, ensuring high accuracy and reliability from day one

Simplify workflow and operations

Set up completely automated workflows to handle file imports , data formatting, data validation, approvals, exports and integrations

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Save time and money

Reduce time spent on inefficient manual tasks and avoid data entry or validation errors that cloud burn a hold in your pocket

Connect the tools you already use

OCR (Optical Character Recognition) adalah teknologi yang mengkonversi teks yang tercetak atau ditulis tangan menjadi teks yang dapat diedit secara elektronik. Aplikasi OCR untuk memindai dokumen fisik dan mengubahnya menjadi file teks yang dapat disunting. OCR dalam dunia bisnis membantu dalam pengolahan data, pengarsipan, dan pencarian dokumen secara efisien. OCR dapat mengenali dan mengekstrasi teks berbagai jenis dokumen termasuk surat, faktur, bukti pembayaran dan banyak lagi. OCR memanfaatkan kemampuan komputer untuk membaca dan memahami karakter yang terlihat dalam gambar atau dokumen yang di pindai. Implementasi OCR dapat mempercepat waktu pemrosesan dokumen secara signifikan.

Integrate your existing business tools seamlessly with Nanonets to automate data collection, exports storage, bookkeeping, and much more

Enhance productivity

Turn your organisatation 10x more productive by allowing teams to focus entirely on core activities while Nanonet’s handles everything else

Ready To Get Started?

We have ready to use solutions for most common document types. Create and set up your own custom model in a few clicks.

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OCR can help you streamline your document management processes.
OCR technology is an excellent tool for digitizing handwritten notes and memos.
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