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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.

What is Aplos Document Desk?

Aplos Document Desk enables users to efficiently extract essential information, including supplier names, reference numbers, dates, currency types, and printed totals, from small sets of English invoices, receipts, and credit notes, presenting each extracted detail next to its source for straightforward verification. Users can upload documents in PDF, JPG, or PNG formats, with a restriction of one document per upload, each containing a maximum of three pages. The platform supports the confirmation of ambiguous values, the detection of potential duplicates, and the validation of credit-note indicators, requiring users to label every processed document as reviewed prior to downloading a CSV file. A complimentary preview of the extraction process is offered, and users pay a one-time fee of $9 for a batch review of up to 20 documents, with no ongoing subscription or account needed, and no accounting integration required. The exported file summarizes totals for each document but omits detailed line items, expense categories, or accounting entries. Furthermore, a built-in fictional sample demonstrates the workflow, helping users grasp the process clearly before working with their own documents. This intuitive design not only streamlines the extraction process but also makes it user-friendly for both individuals and small businesses, enhancing accessibility for those who may be less technologically inclined.

Media

Media

No images available

Integrations Supported

Amazon Web Services (AWS)
Azure AI Document Intelligence
Box
CMIS
IBM FileNet Content Manager
Laserfiche
Microsoft 365
Microsoft Azure
Microsoft Excel
Microsoft OneDrive
Microsoft Outlook
Microsoft Power BI
Microsoft SharePoint
Microsoft Word
Nuxeo
OnBase
OpenText ECM

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Subscription pricing based on volume.
Free Trial Offered?

Pricing Information

$9/batch
Preview extraction is free. A one-time $9 payment unlocks a reviewed CSV batch of up to 20 documents. No subscription is required. Exports contain document totals, not line items, expense categories or accounting entries.
Free Version

Supported Platforms

SaaS
Windows
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

BIS

Date Founded

1986

Company Location

United States

Company Website

grooper.com

Company Facts

Organization Name

Aplos AI

Date Founded

2024

Company Location

United States

Company Website

tools.aplosai.com/documents

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Process/Workflow Automation
Rules-Based Automation

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

Data Entry
Document Imaging

Machine Learning

ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Statistical / Mathematical Tools
Templates
Visualization

Natural Language Processing

In-Database Text Analytics
Named Entity Recognition
Parsing
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

Document Filtering
Language Detection
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis

Categories and Features

Data Extraction

Not specified

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