The real estate industry tends to lock its data in Excel models and PDFs. This data is often siloed and inaccessible for analytical purposes, and significant resources are devoted to manually keying the data into forms and databases for analysis and due diligence. AnyExtract.ai extracts structured data from scanned and readable PDFs and Excel files that is usually entered by hand, such as schedules of real estate owned, personal financial statements, and tax documents, saving real estate professionals time and money. A few documents we can extract from include:
Offering Memos - With the AnyExtract.ai API, you can unlock insights from years of previous real estate deals trapped in PDF offering memos, or accelerate the analysis of new deals by extracting transaction information in real time.
Property Deeds - AnyExtract.ai can extract property legal descriptions, recording and transaction details directly from scanned property deeds to help with title research and data collection.
Purchase Agreements - Our API can pull important transaction details such as parties, key dates, and financial details from purchase & sale agreements.
Closing Disclosures - AnyExtract.ai can help accelerate your real estate closings by converting closing disclosure documents into structured data sets.
Affordable Housing - AnyExtract.ai can streamline the processing of affordable housing documents by extracting data from Tenant Income Certifications (TIC) and various HUD templates.
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Based on our record, Amazon Textract seems to be more popular. It has been mentiond 35 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Did you try textract? https://aws.amazon.com/textract/ In my experience it works amazingly well with columns / tabulated content. - Source: Hacker News / 15 days ago
Amazon Textract has an Analyze Lending API for evaluating and categorizing the documents contained in mortgage loan application packages, as well as extracting the data they contain. The new API can assist in processing applications quicker and with minimal errors, therefore improving the end-customer experience and lowering operational costs. - Source: dev.to / 5 months ago
You could try something like https://aws.amazon.com/textract/ or https://cloud.google.com/vision/docs/handwriting. Both have support for modern handwriting. I don't know if it will work with a script written a century ago though. - Source: Hacker News / 5 months ago
Create a main.js file inside the look-for-github-profile-step project folder. Implement the code that parses the resume and plucks the GitHub profile URL. This step function is responsible for using Textract (an AI service from AWS) and passing state back to the state machine. - Source: dev.to / 9 months ago
The primary challenge in processing invoices is extracting the relevant data. This is where Amazon Textract can help. It is a service provided by Amazon Web Services (AWS) that uses advanced Machine Learning (ML) algorithms to automatically extract structured and unstructured data from scanned documents, images, and PDF files. It can detect typed and handwritten text in different types of documents including... - Source: dev.to / 10 months ago
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