Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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