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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Sensible is a document-processing platform that prioritizes API integration, making it easy for developers and product teams to transform unstructured documents into structured data efficiently. It can extract information from various sources such as PDFs, images, emails, and spreadsheets by utilizing both LLM-based parsing and visual layout-rule engines. With over 150 pre-built parsers designed for typical business documents like bank statements, invoices, and utility bills, companies can speed up their deployment processes, while also having the flexibility to create custom configurations that cater to specific workflows. Additionally, its classification feature includes a dedicated endpoint that automatically determines the document type prior to extraction, which minimizes the need for manual file sorting. Integration is seamless via REST APIs, Webhooks, and SDKs in JavaScript and Python, facilitating document ingestion in both development and production settings while supporting version control. This comprehensive approach not only streamlines workflows but also enhances the overall efficiency of document management.

Description

The Inline Parser functions as a versatile bidirectional tool that can transform X12 files into XML or CSV formats and vice versa. This parser can be invoked from an external application, allowing users to designate the type of conversion, provide the input file or directory, specify the output directory, and set various parsing parameters like mapping and output file names. It enables the creation of CSV and XML files from X12 documents, and it can handle either a single file or all files contained within a specified folder. Additionally, a mapping utility is available to assist in generating pre-configured maps for ease of use. The parser is adaptable, capable of processing any valid X12 transaction with user-defined mapping options. One of its key features is the ability to execute the Parser from another program seamlessly, without requiring any manual input from users. By leveraging customizable mapping, the Inline Parser can efficiently manage a wide range of X12 transactions, ensuring flexibility and accuracy in data processing. This makes it an essential tool for businesses that frequently work with electronic data interchange formats.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
InStyle Apparel Software No 
JavaScript Yes 
Python Yes 

Integrations

Amazon Web Services (AWS) No 
InStyle Apparel Software Yes 
JavaScript No 
Python No 

Pricing Details

$449 per month
Free Trial No 
Free Version No 

Pricing Details

$199.00/one-time/user
Free Trial Yes 
Free Version 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 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
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) Yes 
In Person No 

Types of Training

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

Vendor Details

Company Name

Sensible

Country

United States

Website

www.sensible.so/

Vendor Details

Company Name

Com1 Software

Country

United States

Website

com1software.com/InlineParser.html

Product Features

OCR

Batch Processing No 
Convert to PDF No 
ID Scanning No 
Image Pre-processing No 
Indexing No 
Metadata Extraction No 
Multi-Language No 
Multiple Output Formats No 
Text Editor No 
Zone Selection Tool No 

Product Features

EDI

AS2 Applications No 
AS2 Specification Compliance No 
Archiving & Retention No 
Certificate Management No 
Configuration Data Searching No 
Data Format Translator Yes 
Flexible Licensing No 
Full Logging Yes 
Labeling No 

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