RECAP empowers users to effortlessly manage and process data from diverse documents. Whether it’s simple text extraction or capturing intricate details from payment receipts, making document extraction an efficient and user-friendly process.

1. Simple RECAP. Extract text, number, and other information from your PDFs and documents with our pre-built model. With deep learning algorithms, our pre-built models can easily extract your information, even the challenging ones like tables, where most OCR technologies struggle.
2. Tag & annotate. Our pre-built model has little context and can interpret the extraction document with misses. In that case, we provide a manual tag and annotation feature where users can decide which part of the document they want to extract and also create a custom model out of it (for further use with similar document patterns).
3. Flexible output. The extraction result can be saved as text (or word processing files). As for tables, users can directly store it in key-value pair JSON format or put it in dataframes or tables for further data processing.
4. Receipt extract. Information capturing from payment receipt can be a hassle manual process. With RECAP pre-built model you can extract the necessary information from just the snap of a photo. RECAP can also built custom model for specific receipt for better accuracy and result.
5. Privacy. As a SaaS, Recap utilizes cloud for computing and all processing. With that, RECAP does not keep any user document and even the custom model (although they can be used to improve our deep learning algorithms). We prioritize our users’ data privacy.

Real Business Impact / Use Cases

1. Effortless Information Extraction:
   Use Case: Streamline data extraction from PDFs and documents, eliminating the manual effort traditionally required. Enhance efficiency by effortlessly capturing information, including challenging elements like tables.
2. Custom Model Creation for Precision:
   Use Case: For documents with unique patterns, RECAP allows users to manually tag and annotate, creating custom models for enhanced accuracy. Ideal for industries with specific document structures.
3. Flexible Output Formats:
   Use Case: Tailor extraction results to fit your workflow. Save information as text or word processing files, or store tables in key-value pair JSON format or dataframes for seamless data processing.
4. Efficient Receipt Extraction:
   Use Case: Simplify the extraction of information from payment receipts with a snap of a photo. RECAP’s pre-built models provide hassle-free capture, and custom models can be crafted for precision in specific receipt formats.
5. Privacy-Focused SaaS:
   Use Case: Prioritize data privacy with RECAP’s cloud-based computing. No user documents or custom models are retained, ensuring the utmost confidentiality while still benefiting from enhanced deep learning algorithms.

Market Segment Target

RECAP strategically targets diverse market segments seeking advanced document extraction solutions. Key market segments include:

1. Corporate Enterprises:
   Large corporations dealing with extensive data sets and complex document structures benefit from RECAP’s ability to streamline document management and information extraction processes.
2. Financial Institutions:
   Financial institutions leverage RECAP to simplify receipt extraction and data processing, ensuring accuracy and efficiency in handling transactional documents.
3. Healthcare Sector:
   The healthcare sector embraces RECAP to enhance efficiency in processing diverse medical documents, contributing to improved patient care and administrative workflows.
4. Legal Industry:
   Legal professionals find value in RECAP’s accurate text and number extraction, streamlining document processing and increasing overall efficiency in legal workflows.
5. SMEs and Emerging Businesses:
   Small and medium enterprises, along with emerging businesses, benefit from RECAP’s user-friendly approach, offering an efficient solution for enhancing productivity without the need for extensive manual data entry.