Sold by: Unstructured
Unstructured extracts and transforms data for use with every major vector database and LLM framework
5
Overview
Ingest and preprocess complex natural language data from any document, file type, or layout with Unstructured. Under the hood, the Unstructured engine involves breaking a document into its constituent parts and identifying the document's structure, such as its header, tables, and body text. Unstructured provides diverse preprocessing strategies for documents each catering to different document types and requirements. Utilizing the optimal strategy enhances document element classification accuracy and extraction efficiency, which is crucial for image-based files and layout-intensive documents. Click on Continue to Subscribe to start using Unstructured for your data preprocessing needs. We are constantly improving our products and love feedback.
Highlights
- Transforms all your data for downstream analytics. Next-generation vision transformer for images, PDF, and table extraction
- Enhanced models for table extraction, document hierarchy, and element classification. Chunks your data for LLM applications
- Compatible with any embedding model, vector database, and LLM framework. API client libraries in multiple client languages (e.g. Python, Javascript)
Details
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Dimension | Description | Cost/12 months |
|---|---|---|
Unstructured Platform API | Unstructured Platform Access - Private Offers Only | $10,000,000.00 |
Dimension | Cost/unit |
|---|---|
Additional Overage Charges | $0.01 |
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Customer reviews
reviewer2846073
Fast document parsing has boosted culture insights and now improves HR policy intelligence
Reviewed on Jun 04, 2026
Review from a verified AWS customer
What is our primary use case?
We are a culture operating system that analyzes organizational culture, and we have an AI bot that joins calls to create structured culture intelligence reports. When we talk about HR, there are HR policies, PDFs, and performance documents generated by the HR or human resource department in the company. If we need to digest that data, we use Unstructured to create a vector database of these unstructured data.
If an HR manager wants to use HR policies, HR documents, and performance data in Instill, they can upload their document, and we use Unstructured to convert those PDFs into a vector-based database.
What is most valuable?
We are now using Unstructured every day, and it is useful when we want answers and AI to be used on a PDF or something similar. We use Unstructured to convert it into a vector database to make retrieval augmentation or any kind of AI processes easy.
The document parsing stands out, as the document ingestion is very fast in Unstructured, 20 to 40% faster than the industry products available. If HR wants to upload a PDF on our platform, we use Unstructured to digest the data, and it is 20 to 40% faster than other solutions.
The faster document ingestion has resulted in customer satisfaction, leading to higher quality answers using AI that improved customer satisfaction and NPS score. NPS has improved by at least 10 to 15 points since we started using Unstructured, not only for data digestion but also for retrieving data when we have to use AI or RAG.
What needs improvement?
Cost is something that needs to be factored for scaling use cases because we do not have control over how many documents users will upload, so it is variable and we cannot set a threshold.
For how long have I used the solution?
I have been working in my field for the last eight years.
What do I think about the stability of the solution?
The accuracy and reliability of output from Unstructured are very accurate and highly reliable, as we have not faced any issues and the uptime is consistent.
Which other solutions did I evaluate?
I advise doing research about other vector database searches because Pinecone is also good, but you need to understand the use case.
What other advice do I have?
Features and usability are fine, and it is one of the best products available.
I chose a rating of 10 out of 10 because they are very focused on doing what they do at the best quality and speed, and what they are not doing is outside their scope. They claim faster processing and converting into a vector database faster, building a vector database from unstructured data, which they provide at a very fast speed and quality.
The governance and security regarding Unstructured's AI capabilities are good, as we have SOC 2 and other compliance certificates from Unstructured. I give this product a rating of 10 out of 10.
Which deployment model are you using for this solution?
Private Cloud