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What is Docparser?

Docparser is a powerful tool that enables data extraction from various document formats, including Word, PDF, and image files. It employs Zonal OCR technology along with sophisticated pattern recognition and anchor keyword identification. To get started with your document parser, simply follow three straightforward steps. You can upload your document directly, link it to cloud storage services like Dropbox, Box, Google Drive, or OneDrive, send it via email attachments, or utilize the REST API for seamless integration. This tool allows you to extract necessary data without requiring any programming knowledge. Depending on your document type, you can select from preset rules tailored specifically for your PDF and image files. Additionally, you have the option to download the extracted data in Excel, CSV, or JSON formats, or connect Docparser to a multitude of cloud applications, including platforms like Zapier and Workato. You can choose from numerous pre-existing Docparser templates or opt to create a personalized document rule that fits your needs. Furthermore, this tool can efficiently extract critical invoice information, enabling smooth integration into your accounting systems, allowing you to pull essential data points such as line items, dates, totals, and reference numbers. Overall, Docparser streamlines the data extraction process, making it accessible and versatile for various applications.

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

Axis LMS
Box
Claris Connect
Dropbox
Google Drive
Google Sheets
Latenode
Make
Microsoft Excel
Microsoft OneDrive
Microsoft Power Automate
Quickwork
Salesforce
Workato
Workers by Delos
Zapier
servis.ai

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$39 per month
Free Version
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

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Docparser

Date Founded

2016

Company Location

France

Company Website

docparser.com

Company Facts

Organization Name

Aplos AI

Date Founded

2024

Company Location

United States

Company Website

tools.aplosai.com/documents

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Phone Number Extraction
Pricing Extraction

Categories and Features

Data Extraction

Not specified

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Popular Alternatives

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