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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

DVAP functions as a REST API specifically designed for invoice processing, allowing users to submit a multipart POST request that includes validated JSON and receive back detailed outputs such as confidence scores for each field, totals, dates, vendor information, and ABN, alongside a comprehensive fraud risk score with specified reasons. Additionally, the API offers duplicate fingerprinting and results for 2- or 3-way purchase order matches based on the lines provided, facilitating seamless integration without the need for an SDK or complex webhook setups, as authentication is simplified to a single API key. Unlike many services that merely claim accuracy, DVAP provides measurable data through a public metrics endpoint, showcasing a per-field benchmark table that highlights an impressive 99% accuracy for totals, 100% for invoice dates, and an 87% straight-through processing rate, with a median processing time of just 8.4 seconds. Users will appreciate the clarity of quotas and rate limits, which come with well-defined, typed error messages, ensuring a smooth user experience. The API is actively built and maintained by its founder, complete with a changelog and a service-level agreement (SLA) to guarantee performance standards. For those looking to try it out, there is a free tier available on RapidAPI, with options for volume plans based on the number of documents processed monthly. This makes DVAP a flexible choice for businesses seeking effective invoice automation solutions.

Description

By effortlessly handling diverse invoice formats from various channels and seamlessly integrating with your ERP system, Neil automates the entire AP process. This empowers your team to focus on strategic initiatives while Neil ensures accurate and timely invoice processing with an impressive 85%+ accuracy rate. Going beyond conventional RPA and OCR limitations, Neil leverages advanced AI and machine learning to extract critical data, optimize workflows, and maintain open communication with vendors. Result? 90% straight-through processing (STP), significantly reduced human error, strengthened vendor satisfaction, and overall optimized cash flow with better visibility and vendor discounts with timely payments.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Facebook No 
Gmail No 
Invoice Tally No 
Microsoft SharePoint No 
Microsoft Teams No 
NetSuite No 
QuickBooks Accountants No 
SAP SuccessFactors No 
Slack No 
WhatsApp No 

Integrations

Facebook Yes 
Gmail Yes 
Invoice Tally Yes 
Microsoft SharePoint Yes 
Microsoft Teams Yes 
NetSuite Yes 
QuickBooks Accountants Yes 
SAP SuccessFactors Yes 
Slack Yes 
WhatsApp Yes 

Pricing Details

$0
Free Trial Yes 
Free Version Yes 

Pricing Details

$0
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

DataVance

Founded

2026

Country

Australia

Website

datavance.com.au

Vendor Details

Company Name

E42

Founded

2012

Country

India

Website

e42.ai/

Product Features

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Qualitative Data Analysis

Annotations No 
Collaboration No 
Data Visualization No 
Media Analytics No 
Mixed Methods Research No 
Multi-Language No 
Qualitative Comparative Analysis No 
Quantitative Content Analysis No 
Sentiment Analysis No 
Statistical Analysis No 
Text Analytics No 
User Research Analysis No 

Alternatives

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