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What is Pedfs?

Pedfs stands out as a cutting-edge workspace that leverages artificial intelligence to enhance the extraction, creation, and organization of a variety of financial documents. This platform adeptly converts PDF invoices, receipts, bank statements, and expense records into data formats that are ready for immediate use and export. Users have the flexibility to upload individual documents or handle multiple files at once. Pedfs smartly identifies and extracts critical data such as vendor names, invoice numbers, transaction dates, tax amounts, totals, payment details, and specific line items. Furthermore, it provides users with the ability to track the progress of their batch processing, verify the status of each document, and conveniently reprocess any files that encounter issues without affecting the other submissions. The platform retains previous extraction outcomes in the PDF History feature, allowing users to selectively export specific records in structured formats like CSV, Excel, or JSON, which proves invaluable for bookkeeping, analysis, reporting, and other related applications. In addition, Pedfs includes an Invoice Creator tool that simplifies the process of generating professional invoices by guiding users through the input of necessary details such as business and customer information, line items, quantities, prices, taxes, totals, notes, and payment instructions. This streamlined invoicing capability, combined with its robust features, positions Pedfs as a holistic solution for individuals and businesses aiming to enhance their financial documentation processes and improve overall efficiency.

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

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Media

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Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$29.90
Free Version

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

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Pedfs

Date Founded

2026

Company Location

Canada

Company Website

pedfs.com

Company Facts

Organization Name

Aplos AI

Date Founded

2024

Company Location

United States

Company Website

tools.aplosai.com/documents

Categories and Features

AI Finance

Not specified

Categories and Features

Data Extraction

Not specified

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