MoneyStream turns bank statements into clean, structured account, statement and transaction data. Most extraction tools work well on straightforward statements. The harder documents and edge cases are where the manual work, exceptions and cost start to pile up. MoneyStream is built to push further into that long tail using modern document intelligence and AI.
Talk to us and you can be extracting the same day.
Built for the long tail
Straightforward statements are the easy part. MoneyStream is designed to handle the broader range of formats and edge cases that create work when you're processing statements at scale.
Industry-leading extraction of transactions, balances, account details, and cash flow metrics from any bank statement format — PDF, scanned, or digital.
Our systems automatically identify document types and learn new formats. Upload any financial document and our AI figures out how to extract it.
We read PDF data at the structural level — bypassing OCR entirely. This eliminates the errors and fraud vulnerabilities inherent in image-based extraction.
Expert reviewers handle edge cases where documents are incomplete, damaged, or flagged for potential fraud — ensuring nothing falls through the cracks.
Process hundreds of thousands of documents per hour. Our distributed architecture scales elastically to handle your peak volumes without degradation.
Bank statement extraction
Every transaction, every balance, every detail — from thousands of institutions, in the formats that break other parsers. The harder documents and edge cases are where the manual work, exceptions and cost start to pile up, so that is what we build for.
How it works
Upload statements directly or connect through the MoneyStream API.
Start with a few statements, integrate it into your workflow, or contact us if you have a larger or more complicated use case.
Submit documents via API, SFTP, or web upload. Any format — PDF, scanned images, or direct bank feeds.
Our AI reads the native PDF structure and extracts every transaction, balance, and data point.
Automated checks reconcile balances and transaction totals, and flag statements we could not extract cleanly.
Structured JSON output with account, statement, balance and transaction data and confidence levels — ready for your systems.
If we can't successfully extract a statement, you don't pay for it.
Our Technology
Built on proprietary technology, our platform combines native PDF intelligence with continuously evolving machine learning models.
While competitors rely on OCR to convert documents to images and then attempt to read them, we parse the actual PDF data structures. This means we access text, tables, and formatting information directly — with zero optical recognition errors.
This architectural decision, made in our earliest days, gives us a fundamental accuracy advantage that OCR-based approaches cannot replicate.
Our ML models don't just classify documents — they learn how to read new ones. When a new bank statement format appears, our system auto-detects the layout, maps data fields, and begins extraction without human intervention.
Over a decade of training data from millions of documents gives our models an understanding of financial document structures that no new entrant can match.
Built by founders with deep financial services security backgrounds. Bank-grade encryption at rest and in transit, SOC 2 compliance, and strict data isolation ensure your borrower data is protected at every layer.
Documents are processed in isolated environments and purged according to your retention policies. We never use customer data to train models without explicit consent.
MoneyStream is built for financial institutions and follows industry-standard security practices including encryption, secure cloud infrastructure, and strict data access controls.
Our distributed processing architecture scales horizontally to handle peak volumes without latency degradation. Process hundreds of thousands of statements per hour with consistent sub-3-second turnaround times.
Whether you're processing 100 or 100,000 documents in a batch, our infrastructure automatically allocates resources to meet your SLAs.
Structured output
For each successfully processed statement, MoneyStream returns structured data including:
Institution, holder, account number
Period, page count, statement dates
Starting, ending and running
Every line, in order
Normalised and typed
Use the results directly in MoneyStream or through the API.
Credit packs
Launch pricing as we open MoneyStream to broader use.
Custom volume, custom integration
Contact Us
Tell us your volume and we will quote it.
Contact UsAbout MoneyStream
Founded in 2012 by Silicon Valley veterans with deep roots in financial services and security, MoneyStream set out to solve a fundamental problem: extracting reliable, structured data from the messy reality of financial documents.
Over the past decade, we've built proprietary AI and machine learning systems that can read, understand, and validate virtually any financial document — from digital PDFs to scanned paper mail. Our technology doesn't just parse documents; it understands them.
Today, our platform processes hundreds of thousands of documents per hour with industry-leading accuracy, serving lenders, fintechs, and financial institutions who demand the highest standards of precision, security, and speed.
Silicon Valley roots, financial services DNA
Proprietary models trained on millions of documents
Native PDF parsing eliminates OCR errors entirely
Expert review available for every edge case
Get in touch
If you're processing larger volumes, need a custom integration or want to discuss on-premise deployment, we'd like to talk.
We've received your inquiry and will be in touch shortly.
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