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What is Parseur?
Parseur stands out as an exceptional platform for parsing emails and processing documents. It enables users to effortlessly extract text from various formats such as emails, PDFs, CSVs, or Excel files, and seamlessly integrates this data with any application, spreadsheet, or database.
By utilizing Parseur, businesses can significantly reduce the time spent on manual data entry, leading to enhanced efficiency and automation of workflows.
Equipped with a diverse array of pre-built templates tailored for numerous industries, Parseur simplifies the management of food delivery orders (like those from Grubhub or DoorDash), Google Alerts, real estate leads from sites such as Zillow and Apartments.com, job applications through platforms like LinkedIn, and bookings from services like Airbnb, among others.
This comprehensive solution not only streamlines operations but also empowers businesses to focus on their core activities.
What is Grooper?
Most document AI asks you to trust it. You feed it documents, it returns answers, and when a number is wrong, "the model said so" is the only explanation available. Grooper was built for organizations that can't accept that.
Grooper is an intelligent document processing (IDP) platform built on one premise: you stay in control. You control the method: about 57 extraction techniques across rule-based and AI families, chosen per field, so an invoice number can use a pattern that returns the same answer every time while the messy handwriting beside it uses AI. You control the AI's input: ReadScope lets you set the scope of what the AI reads, per field. The model can't misread what it was never shown. And you control the evidence: every value keeps its receipt. Click any number to see the exact spot on the page it came from, the method that produced it, what the AI was shown, and who checked it. A number without its source is a rumor; Grooper's numbers show their work.
One system covers the whole job: scanning, OCR across 6 engines, document separation, classification, extraction, validation against your systems of record, human review with the source highlighted, redaction, and delivery. Extend it yourself through 61 documented extension points, and drive it with your own AI agents through MCP, the open protocol, instead of a captive vendor copilot.
Deploy it your way: on your hardware, with AI models on GPUs you own so regulated content never leaves the building; in your own cloud tenant; or hosted and managed by BIS. Customers publish the results: 62% of invoices in a 2,000-a-day AP operation flow through with zero human touches, and Del Norte Credit Union eliminated 97.5% of manual data entry.
Behind Grooper is BIS, an Oklahoma City company founded in 1986: self-funded, no outside investors, and sole author of every line of the code.
Your documents. Your models. Your rules.
Integrations Supported
Microsoft Excel
Microsoft Outlook
ActiveCampaign
Airtable
Amazon Web Services (AWS)
CMIS
DoorDash
GetSwift
Gmail
Google Docs
Integrations Supported
Microsoft Excel
Microsoft Outlook
ActiveCampaign
Airtable
Amazon Web Services (AWS)
CMIS
DoorDash
GetSwift
Gmail
Google Docs
API Availability
Has API
API Availability
Has API
Pricing Information
$99 / month
Starter - $99/mo for 1 000 pages
Premium - $199/mo for 3 000 pages
Pro - $299/mo for 10 000 pages
High Volume Plans - up to 1 million pages per month
Enterprise Plan - on quote
Premium - $199/mo for 3 000 pages
Pro - $299/mo for 10 000 pages
High Volume Plans - up to 1 million pages per month
Enterprise Plan - on quote
Free Version
Free Trial Offered?
Pricing Information
Subscription pricing based on volume.
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Parseur Pte. Ltd.
Date Founded
2016
Company Location
Singapore
Company Website
parseur.com
Company Facts
Organization Name
BIS
Date Founded
1986
Company Location
United States
Company Website
grooper.com
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Electronic Data Capture
Audit Trail
CRF Tracking
Data Entry
Data Verification
Distributed Capture
Document Imaging
Document Indexing
Forms Management
Remote Capture
Study Management
OCR
Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Electronic Data Capture
Audit Trail
CRF Tracking
Data Entry
Data Verification
Distributed Capture
Document Imaging
Document Indexing
Forms Management
Remote Capture
Study Management
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
OCR
Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
