Handwritten Text OCR

Transform Handwritten Documents into Searchable Data

Welcome to BlueStar’s Next-Gen Handwriting Text Extraction:

Transform Your Legal Workflow: From Handwritten Notes to Digital Evidence, BlueStar Masters Your OCR Challenges

Revolutionizing paper discovery with BlueStar Next-Gen Solutions. Enhance your OCR capabilities like never before! Experience the unprecedented ability to search, deduplicate, and maintain the original format of your handwritten documents. With BlueStar's advanced technology, you can now effortlessly extract text from even the most challenging OCR and handwritten images. Our platform takes document review to new heights by enabling text extraction from a wide range of sources including handwritten notes, photographs, and videos. Plus, enjoy the convenience of having extracted text translated or directly integrated into a Relativity database.

Powered by cutting-edge AI technology for more accurate and contextual results. ​

  • OCR handwritten notes in their original location on the document​.

  • Keep the context of the handwriting by viewing documents in their original format with marginalia.​

  • Extract text and handwriting from images, photos, and videos.​

  • BlueStar's OCR technology is versatile enough to detect and extract text from any image, capturing details as minute as text on street or traffic signs.

  • No hidden fees; the price includes processing and ingestion into Relativity.​

  • Save money and time by reviewing less, deduping handwriting and photos, and finding key documents faster.

Transform your documents with text deliverables available in accessible file formats, ensuring a seamless workflow.

Example Documents:

Case Study For Handwritten Text Extraction:

Corporate Attorney Utilizing BlueStar's Next-Gen Handwriting Text Extraction

Background

A corporate attorney is working on a high-stakes merger and acquisition (M&A) case involving two major technology companies. The case is document-intensive, with thousands of pages of contracts, handwritten meeting notes, emails, and other relevant documents that need to be reviewed for due diligence.

Client’s Challenge

The primary challenge for the attorney is the sheer volume of documents, many of which contain crucial handwritten notes. These notes include marginalia on contracts, revisions on drafts, and comments on strategic plans, which are critical for understanding the intentions and agreements during the merger negotiations. The traditional method of manually reviewing these documents is time-consuming and prone to human error.

Solution with BlueStar's Technology

The attorney decided to use BlueStar’s Next-Gen Handwriting Text Extraction technology for the following reasons:

1. Efficient Text Extraction: The technology efficiently extracts text from handwritten notes found in various document formats, such as PDFs of contracts and JPEG images of handwritten meeting notes.

2. Preservation of Document Context: It keeps the context of the handwriting intact by viewing documents in their original format, which is crucial for understanding the nuances in contract negotiations and strategic discussions.

3. Integration with Legal Databases: The extracted text, along with its context, is seamlessly integrated into the Relativity database that the attorney's firm uses. This integration allows for easy searching, organizing, and referencing of the documents.

4. Enhanced Search and Review Capabilities: With advanced OCR capabilities, the attorney can quickly search for specific terms or phrases across thousands of documents, including handwritten notes, drastically reducing the time spent on document review.

5. Cost and Time Efficiency: Using BlueStar’s technology, the corporation saves significant amounts of time and money that would otherwise be spent on manual document review.

Successful Outcome

With the aid of BlueStar's technology, the attorney is able to efficiently process and review all the necessary documents. She quickly identifies key issues, potential risks, and negotiation points that were noted in the margins of documents, which might have been missed in a manual review. This comprehensive and efficient analysis provides the attorney with a strategic advantage in the M&A negotiations, helping her to effectively advise her client and facilitate a successful merger. Reduces her review scope by being able to dedupe her doc universe/esi and she saves time by searching for keyword handwritten docs.

Winning With BlueStar

In this high-stakes corporate legal environment, BlueStar’s Next-Gen Handwriting Text Extraction technology proves to be an invaluable tool for Jane Doe. It not only enhances the efficiency and accuracy of document analysis but also provides a strategic edge in handling complex M&A cases. We are the ONLY one to offer this service.

It All Begins with an Idea

At BlueStar, we believe that every great innovation starts with a simple idea. Connect with Sarah Thompson, our Chief Product Officer and leader in AI innovation and custom applications. Sarah's expertise and vision drive the development of cutting-edge solutions tailored to meet your unique needs. Whether you're looking to streamline processes, enhance data analysis, or create unique, industry-leading applications, Sarah and her team are here to turn your ideas into reality. Let's start a conversation and explore how we can innovate together.

Innovative Solutions in Action: BlueStar's Recent Projects

  • Multilingual Document Conversion

    To enhance the review process for our clients, BlueStar developed a sophisticated program that converts documents written in foreign languages into the reviewer’s native language, all while preserving the original formatting, images, graphs, charts, and formulas. This groundbreaking solution allows English-speaking reviewers to seamlessly review documents originally created in various languages without losing any crucial visual or structural elements. Our program ensures that the integrity and context of the documents remain intact, facilitating accurate and efficient analysis and decision-making.

  • WeChat Audio Conversion

    In response to the growing need for effective audio file conversion, Sarah Thompson's team at BlueStar developed a sophisticated Python program to convert WeChat audio files from SILK format to WAV format. Utilizing generative AI, the team crafted a solution that ensures seamless and accurate conversion, maintaining the integrity of the audio data. This program not only simplifies the process but also enhances accessibility and usability for our clients, demonstrating BlueStar’s dedication to harnessing AI for practical, real-world applications.

  • Gen AI Chatbot for Relativity Server

    In a groundbreaking project, Sarah Thompson and her team at BlueStar developed a sophisticated chatbot for Relativity Server, utilizing generative AI to streamline the document search process. This innovative chatbot allows users to perform both simple and complex searches using natural language, eliminating the need to master search query syntax. By making document retrieval more intuitive and accessible, our AI-powered chatbot significantly enhances efficiency and accuracy in locating relevant documents, underscoring BlueStar’s commitment to advancing eDiscovery through intelligent automation.

  • AI Image Object Detection

    In a complex insurance investigation following a devastating warehouse fire, BlueStar utilized advanced AI image object detection technology to locate a critical control panel amidst over 100,000 images. This specific panel, identified as ABC, was pinpointed in Zone 8 of the warehouse. Our swift and accurate identification cleared the insurance company of any liability related to the panel, saving the client over $100,000 in document review. The entire process was completed within a remarkable 24-hour timeframe, showcasing our commitment to efficiency and precision in challenging scenarios.