Janani Prasad

Cofounder & Head of Product at ParserBee

Janani Prasad is Cofounder and Head of Product at ParserBee, where she leads product strategy and helps teams automate document and data workflows. She works closely with founders and engineering teams on product decisions, MVP scope, and build-vs-buy calls. Based in the UK, she writes about practical automation, invoice and data extraction, and putting AI to work in everyday business operations.

ParserBee graphic showing how to extract data from PDF to Excel, comparing slow manual typing at three to four minutes per document with typos against automatic AI extraction in seconds with no code
data extraction, Excel, No Code, PDF extraction
18 August 2026

How to Stop Manual Data Entry from PDF to Excel (For Non-Technical Teams)

Stop retyping PDFs into spreadsheets. A no-code guide to extracting data from PDF to Excel for non-technical finance and operations teams: four methods compared, plus a twenty-minute setup that clears your backlog.
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Invoice-Automation-Software
data extraction, Invoices
10 August 2026

The Best Invoice Automation Software for Small Businesses in 2026

Compare the best invoice automation software for small businesses in 2026: six honest picks for extracting, approving and recording invoices faster.
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Illustration of ParserBee's AI document parser: one sample document uploaded on the left becomes a full Parser Template on the right in about 20 seconds
News, Product Updates
31 July 2026

Drop a Document, Get a Parser: Meet the AI Template Builder

As part of the latest release of ParserBee, we are introducing the fastest way yet to go from "here is my document" to "here is my data": the AI Template Builder. It turns AI document data extraction into a single upload. Give it one sample of the document you want to parse, and our AI…
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Comparisons, data extraction, Invoices, No Code
24 July 2026

10 Best Invoice OCR Software in 2026 (Tested on Real Invoices)

We tested the top invoice OCR software on real invoices: line items, accuracy, pricing and no-template setup compared. ParserBee, Nanonets, Rossum and more.
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Bank Statements, Comparisons, No Code
21 July 2026

Bank Statement to Excel Software: The 6 Best Tools in 2026

Retyping one 60-transaction bank statement into a spreadsheet means around 300 typed values and roughly 20 minutes of careful work, with a measured error rate of about 1 percent per entry across decades of human error research. Bank statement to Excel software removes that job entirely: statement in, transaction rows out. The market splits into…
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Data Lab feature in ParserBee to extract data in bulk without any external tool
News, Product Updates
16 July 2026

Breaking Down Data Lab: Bulk Document Extraction, No Code Required

Data Lab is a new no-code workspace in ParserBee for bulk document data extraction: pick a Parser Template, drop in up to 100 files, watch a spreadsheet fill itself in, then export to CSV, PDF, or Google Sheets.
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ChatGPT, PDF extraction
9 July 2026

ChatGPT Says “No Text Could Be Extracted From This File”: Why It Happens and How to Fix It

If ChatGPT has just told you "no text could be extracted from this file", your PDF almost certainly contains pictures of text rather than actual text. Scanned documents, photographed pages, and image-based exports all look normal to you, but to software they are photographs of ink with nothing to copy. The fix depends on what…
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Bank Statements, data extraction
7 July 2026

How to Convert Bank Statements to Excel in Bulk (Without Manual Entry)

Learn how to convert bank statements to Excel in bulk without manual entry. Upload up to 100 PDFs, scans, or photos and export clean, labelled transaction rows to Excel, CSV, or Google Sheets in minutes, no code required.
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Google Sheets, Invoices, No Code
3 July 2026

How to Automatically Extract Invoice Data into Google Sheets (No Manual Entry)

Learn how to extract invoice data to Google Sheets automatically with ParserBee's AI parser. Upload PDFs, scans, or photos, then export a clean, formatted sheet in one click - no coding or manual entry.
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