Audience
Scanning application for anyone wanting to transform their mobile or tablet to a scanning device
About Tungsten Mobile Capture
With Tungsten Mobile Capture, patented image processing and on-device optical character recognition (OCR) technologies automatically capture, extract and validate content from paper documents. Eliminate the need to enter information manually and provide your customers with a fast, frictionless experience. Support multiple points of customer engagement and deliver more services via your customers’ preferred channel. Enable right-channeling capabilities with full analytics to optimize the customer experience. Solve issues at any stage of the process with single-platform control. Extend the capabilities to new customer engagement applications such as customer onboarding, bill pay and mortgage origination. Empower customers to interact with your businesses systems by adding powerful data extraction and interactive validation software into your mobile apps.
Other Popular Alternatives & Related Software
NuOCR
NuOCR is a high-performance optical character recognition system for enterprises that automates data extraction from paper, images or PDF files. After extraction, it enables the user to validate the content and save it to the database or download the content. NuOCR is an intelligent document processing software that converts unstructured information to structured digital data allowing enterprises to power up their CRM capabilities for enhanced customer experience. Manual data collation is a tedious task, in which one minor error can result in mismatching outputs affecting the quality of the data. The solution to this problem lies in an automated data capture system that collects information from any document and gets it right, every time. As an intelligent document processing software, NuOCR converts information on any document, an image file, a paper document, or a pdf document, into quickly accessible, searchable, and error-free digital data.
Learn more about NuOCR
Online OCR
Picture to text converter allows you to extract text from images or convert PDF to Doc, Excel or Text formats using Optical Character Recognition software online. To extract text and characters from scanned PDF documents (including multipage files), photos and digital camera captured images. Any JPG, BMP or PNG images can be converted into text output formats with the same layout as the original file. Convert PDF to WORD or EXCEL online. Extract text from scanned PDF documents, photos, and captured images without payment. You may convert files from mobile devices (iPhone or Android) or PC (Windows\Linux\MacOS). All documents uploaded under the free "Guest" account will be deleted automatically after conversion. Output files for registered users are stored one month. OCR service is free for "Guest" users (without registration) and allows you to convert 15 files per hour.
Learn more about Online OCR
AnyDoc
AnyDoc is a powerful automated data capture software product. It identifies and captures data from incoming documents and streamlines key processes.
Minimize data entry
Optical character recognition (OCR) captures data from nearly any document, including data from a machine, from handwriting or from barcodes.
Shorten business process cycle times
Automatically extract and validate data in seconds. Verification procedures use custom business rules to ensure accuracy with minimal human intervention.
Expedite data into your workflow
Accurately and seamlessly deliver data into content management systems, ERPs, accounting applications or BPM systems.
Improve data accuracy
Ensure the accuracy of captured information with image enhancement technology, data recognition engines and consistent use of your own business rules.
Learn more about AnyDoc
PrecisionOCR
PrecisionOCR is a ready-to-use, secure, HIPAA-compliant, cloud-based platform for extracting medical meaning from unstructured documents using Optical Character Recognition (OCR).
PrecisionOCR uses custom Optical Character Recognition and AI algorithms to convert PDFs/JPEGs/PNGs into structured, searchable documents. Organizations can work with our team to build OCR report extractors which look for specific types of information to extract or highlight to reduce the noise that comes from extracting all of the data within a document.
Natural language processing (NLP) and machine learning (ML) power the semi-automated and automated transformation of source material such as pdfs or images into structured data records that integrate seamlessly with EMR data using HL7s FHIR standards. Data can be automatically stored along side patient records.
Our OCR document classification is also available along with multiple ways to integrate including API and CLI support.
Learn more about PrecisionOCR
Integrations
Company Information
Tungsten Automation
Founded: 1985
United States
www.tungstenautomation.com/products/mobile-capture-platform
Videos and Screen Captures
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Product Details
Platforms Supported
iPhone
iPad
Android
Training
Documentation
Live Online
Videos
Support
Phone Support
Online
Tungsten Mobile Capture Frequently Asked Questions
Q: What kinds of users and organization types does Tungsten Mobile Capture work with?
Tungsten Mobile Capture works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Tungsten Mobile Capture support in their product?
Tungsten Mobile Capture supports these languages: English.
Q: What kind of support options does Tungsten Mobile Capture offer?
Tungsten Mobile Capture offers support via phone support and online.
Q: What other applications or services does Tungsten Mobile Capture integrate with?
Tungsten Mobile Capture integrates with: Tungsten Capture and Tungsten MarkView.
Q: Does Tungsten Mobile Capture have a mobile app?
Yes, Tungsten Mobile Capture has a mobile app for iPhone, iPad, and Android.
Q: What type of training does Tungsten Mobile Capture provide?
Tungsten Mobile Capture provides training in the form of documentation, live online, and videos.
