Parserr
Parserr turns incoming emails into useful data that can be exported to various integrations and third-party applications.
At its core, Parserr is built to be a plug-and-play tool that connects with hundreds of apps and dozens of native integrations.
Email Parsing
Email parsing is the process of using software to identify and extract specific data from emails to scrape off tons of manual data entry work.
Email parsing adopts the concept of data mining that structures your email workflow by exporting crucial lead data to your desired destination.
Use cases
Email parsing suits a wide range of contexts. Designed to extract data from different sections of your email, parsing can automate workflow and cut back manual data entry budget in, but not limited to Real Estate, IT Services, Marketing and Financial industries.
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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.
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Sensible
Sensible is an API-first document-processing platform designed to enable developers and product teams to convert unstructured documents into structured data with minimal overhead. It supports extraction from PDFs, images, emails, and spreadsheets using a combination of LLM-based parsing and visual layout-rule engines. With over 150 pre-configured document-type parsers for common business forms (bank statements, invoices, policy declarations, utility bills, EOBs), organizations can accelerate deployment, while custom configurations allow unique workflows. It offers classification of document types via a dedicated classify endpoint, automatically identifying the form type before extraction, reducing manual pre-routing of files. Integration is straightforward through REST APIs, Webhooks, and SDKs (JavaScript, Python), allowing ingestion of documents in development and production environments with versioning support.
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DigiParser
DigiParser is a document workflow automation platform that simplifies data extraction from documents like invoices, contracts, forms, resumes, and receipts.
It uses advanced OCR and machine learning to extract, validate, and process data, converting documents into structured JSON or CSV formats. Users can create custom parsers for their documents, automate workflows, and integrate the extracted data into tools like Zapier, QuickBooks, Xero, Salesforce, Google Sheets, etc.
DigiParser supports team collaboration with flexible billing options, allowing multiple team members to work on different parsers. With features like schema customization, review stages, and workflow automation, it ensures high accuracy in data extraction while saving time and reducing manual work.
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