fileAI

What is fileAI?

fileAI is a web platform that pulls structured data out of invoices, receipts, claims and other business files, then checks and exports it. It aims to replace manual data entry for finance and insurance teams.

Files arrive by upload, email forwarding or API. In-house OCR models read printed text, handwriting and more than 200 languages, then extract fields such as totals, dates and line items. Results are validated against a schema you define and sent on to accounting, ERP or storage systems. Long files with hundreds of pages can go through in a single upload.

The company is based in Singapore and previously traded as Bluesheets. CB Insights lists it as founded in 2021 with about $26 million raised. A developer API arrived in July 2025, and the site and pricing page loaded normally in early October 2026. The homepage claims more than 500 enterprise users and over 1 billion files processed.

Key Features

Schema-based extraction and the fileForge checks matter most, because they turn raw OCR output into figures you can trust and post without retyping.

• AI OCR models: fileAI runs its own vision-language recognition models on printed pages, tables, forms and handwriting, and the homepage adds audio, video and chat inputs. More than 200 languages are covered, which helps multinational shared service centres.
• AI schemas: You define the fields you want, such as invoice number, tax amount or claim date, and the platform maps each file to them. The self-serve plan includes two schemas, with more available on enterprise terms.
• fileForensics: This module looks for signs that a document has been edited or forged before its data is accepted. Insurers and accounts payable teams use it to catch altered receipts or doctored supporting papers.
• fileResolve: Extracted values are normalised into consistent formats and reconciled against your existing records. That step catches mismatched totals, inconsistent date formats or duplicate entries before they reach the general ledger.
• Natural-language queries: A query layer called FQL answers plain-English questions about processed files. A finance lead can ask for all unpaid invoices above a threshold without writing a report or exporting to a spreadsheet.
• Vertical modules: fileLedger targets finance workflows and fileShield targets insurance claims. Each packages extraction, fraud checks and exports around the specific documents that its sector handles most often, which shortens initial setup.

Pros

Security credentials give fileAI its strongest case, since the company states SOC 2 Type II, ISO 27001, GDPR and HIPAA coverage that regulated buyers usually require.

• Wide format support: PDF, JPEG, PNG, TIFF, HEIC, WEBP, CSV, Excel, Word and ZIP files are all accepted. Teams rarely need to convert files before sending them for processing.
• Strong compliance: fileAI reports SOC 1 and SOC 2 Type II audits, ISO 27001, GDPR and HIPAA. Files are encrypted with TLS in transit and AES-256 at rest.
• Cheap to test: Every new account receives a $5 credit, which the launch post says covers about 500 files. You can judge accuracy on real documents before spending anything.
• Named customer results: The site quotes Toshiba cutting a task from 92 to 17 minutes and MSIG reporting 60% faster claims handling. Public references like these help procurement teams justify a pilot to finance directors.
• Unlimited users: The self-serve plan does not charge per seat and allows unlimited workspaces. A whole finance team can review and correct extracted results without raising the monthly bill as headcount grows.

Cons

Opaque per-page pricing is the main weakness, because the public pricing page shows “from $0” but not the actual rate charged per processed page.

• Hidden page rates: The per-page price appears only inside an account. Forecasting monthly costs means running a test batch first and extrapolating from the result to your expected volume.
• Enterprise gating: Custom models, unlimited schemas, a dedicated account manager and the 99.9% SLA sit behind a sales quote. Self-serve accounts also get only one export integration, which growing firms may outgrow.
• Mixed support reviews: Some G2 reviewers describe slow responses from support. Teams with tight month-end close deadlines should agree response times in writing before relying on the platform for critical work.
• Connectors still arriving: Xero works today, but the help centre marks NetSuite and SharePoint as coming soon. Check the status of your own system before planning a rollout.
• Name confusion: A separate product called File AI at fileai.pro has different features and prices. Directory listings sometimes mix the two, which can mislead buyers comparing options.

Who is Using fileAI?

Organisations that process thousands of supplier, customer or claims documents each month make up the core audience, especially in finance and insurance.

• Accounts payable teams: AP staff extract supplier invoice data and push it into Xero or an ERP. Reconciliation flags mismatches before payment runs.
• Insurers: Claims teams read supporting documents and run fileForensics to spot tampering. MSIG and DirectAsia are named on the site, with DirectAsia reporting an 80% cut in processing time.
• Accounting and outsourcing firms: Bookkeeping providers process receipts and statements for many clients at once. The site quotes RSM using it for over 150 clients and OSOME handling about 100,000 files a month.
• Developers: Engineers call the API or MCP server to feed clean document data to their own apps. Some connect it to AI assistants such as Claude or Cursor.

Pricing

fileAI starts at $0 a month on its self-serve plan, billing each processed page, while enterprise contracts are quoted individually (official prices, October 2026).

One billable page means one document page or one spreadsheet sheet. The self-serve plan covers email, API and upload ingestion, unlimited import integrations and one export integration. The pricing page also describes outcome-based billing for Agent Flows, with no charge for runs that fail through fileAI’s own fault.

Toolify lists $9.90 monthly and $99.90 lifetime plans, but its listing points to fileai.pro, so those prices belong to the unrelated product.

Because per-page rates only show after sign-up, treat any cost estimate as provisional until you have processed a sample batch of your own files.

What Makes fileAI Unique?

Tamper detection, reconciliation and plain-English querying sit in the same pipeline as extraction, so fileAI behaves more like a data preparation layer than a scanner. Basic OCR tools stop once text leaves the page.

The MCP server adds another angle. AI agents can request structured data from documents directly, which matters to companies building their own automation rather than buying a finished workflow.

Compatibilities and Integrations

fileAI connects to cloud storage, accounting systems and AI tools through native connectors, an API and an MCP server.

• Platforms: A browser-based web app, a developer API and an MCP server for AI clients.
• Ingestion: Direct upload, email forwarding, Google Drive, Dropbox and OneDrive.
• Accounting and ERP: Xero is live, and QuickBooks, NetSuite, SAP and Oracle are listed, with some connectors marked coming soon. The homepage also lists Salesforce, Slack and Outlook.
• Cloud and AI: AWS, Google Cloud, S3, Databricks, OpenAI, Gemini and Claude appear among listed integrations, and the homepage cites more than 100 ERP and system connectors.
• Deployment: Enterprise buyers can choose private cloud or on-premise installation.

fileAI Tutorials

A first extraction run takes roughly fifteen minutes using the $5 sign-up credit and a handful of real files.

1. Create an account at file.ai and confirm the $5 credit has been added.
2. Build an AI schema listing the fields you need, such as supplier, date and total.
3. Upload a mixed batch of files, or forward them to your ingestion email address.
4. Review the extracted values, correct any errors and note which file types caused problems.
5. Check fileForensics flags on any documents marked as altered.
6. Connect an export target such as Xero, then post a small test batch before scaling up.

How We Rated It

fileAI earns 4.1 out of 5, driven by broad features and strong security, with marks lost for unclear page rates and uneven support.

Summary

fileAI is a strong choice for finance, insurance and outsourcing teams that handle large document volumes and need checked, structured output. Its security credentials and forensics tools go further than many extraction products. The main drawback is that per-page costs are not published, which makes budgeting harder, and some connectors are still in progress. Small firms with occasional receipts may find a simpler tool cheaper. Test the free credit on your messiest real files, not clean samples, to judge accuracy fairly.