Best Unstructured Data Analysis Tools

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Bright Data is the world's #1 web data, proxies, & data scraping solutions platform. Fortune 500 companies, academic institutions and small businesses all rely on Bright Data's products, network and solutions to retrieve crucial public web data in the most efficient, reliable and flexible manner, so they can research, monitor, analyze data and make better informed decisions. Bright Data is used worldwide by 20,000+ customers in nearly every industry. Its products range from no-code data solutions utilized by business owners, to a robust proxy and scraping infrastructure used by developers and IT professionals. Bright Data products stand out because they provide a cost-effective way to perform fast and stable public web data collection at scale, effortless conversion of unstructured data into structured data and superior customer experience, while being fully transparent and compliant.

Instead of building custom scrapers to extract unstructured data, get the data you want in seconds with our generative AI. Define data, sources, and schedule. Kadoa autogenerates scrapers for the sources and automatically adapts to website changes. Kadoa extracts the data and ensures data accuracy. Receive the data in any format with our powerful API. Effortlessly extract data from any web page with our AI-generated scrapers. No coding is required. Quick and easy setup, have your data ready in seconds. Focus on other tasks without worrying about constantly changing data structures. Get around CAPTCHAs and other blockers. Recurring data extraction, so you can set it and forget it. Easily access and use the extracted data in your own projects and tools. Track market prices automatically to make better pricing decisions. Aggregate and parse job postings across thousands of job boards. Let your sales team focus on discovery and closing instead of copying and pasting information.

Playmaker is a document automation platform that transforms unstructured data from various sources, such as PDFs, images, spreadsheets, and web data, into actionable, structured formats. It offers over 100 templated document workflows, including financial statements, purchase orders, invoices, and contracts, enabling users to streamline processes like data extraction, validation, and integration with other applications. Users can import documents via email, API, or manual upload, and the platform converts this unstructured data into clear, tabular formats suitable for powering workflows across more than 300 applications. Playmaker emphasizes security and compliance, with data stored and processed exclusively in the European Union and the United States, adherence to regulations like GDPR and CCPA, and features such as AES-256 encryption and role-based access control.

Use AI-Powered SQL to do data extraction, classification and RAG on documents, webpages, videos, images and audio. Over 90% of the data in financial and insurance services gets passed around in PDF format. It's a tough nut to crack due to the complex tables, charts, and graphics it contains. With Roe, you can transform years' worth of financial documents into structured data and semantic embeddings, seamlessly integrating them with your preferred chatbot. Identifying the fraudsters have been a semi-manual problem for decades. The documents types are so heterogenous and way too complex for human to review efficiently. With RoeAI, you can efficiently build identify AI-powered tagging for millions of documents, IDs, videos.

Tensorlake is the AI data cloud that reliably transforms data from unstructured sources into ingestion-ready formats for AI applications. It seamlessly converts documents, images, and slides into structured JSON or markdown chunks, ready for retrieval and analysis by LLMs. The document ingestion APIs parse any file type, from hand-written notes to PDFs to complex spreadsheets, performing post-processing steps like chunking and preserving the reading order and layout of the documents. Tensorlake's serverless workflows enable lightning-fast, end-to-end data processing, allowing users to build and deploy fully managed Workflow APIs in Python that scale down to zero when idle and scale up when processing data. It supports processing millions of documents at once, maintaining context and relationships between various data formats, and offers secure, role-based access control for effective team collaboration.

Intelligent document processing automates the processing of data within documents, contextualizing the document, understanding the information, extracting it, and sending it to the right place. With Acodis, you can do all of this in just a few seconds. The world is full of unstructured data hidden in documents and it will be for a long time to come. That's why we built Acodis so that you can extract data from any document, in any language. Get structured data from any document with machine learning, in seconds. Build and combine document processing workflows with a few clicks, no coding required. Once you capture and automate your document's data, integrate the process into your existing systems. Acodis offers an easy-to-use user interface. This enables your team to automate document-related processes and enables you to make faster decisions based on machine learning. Use the REST client in the programming language that you are using and integrate it with your existing business tools.