aOCR
aOCR · Coding
aOCR is an AI document parsing API that converts messy files into clean, usable data. Feed it a PDF, a phone photo of a receipt, an Excel sheet, or a slide deck, and it hands back structured output you can drop straight into a database or app. The platform targets engineering and operations teams that are tired of manual data entry. On printed text it hits 99.2% accuracy, according to the vendor.
About aOCR
What Is aOCR
aOCR is a web-based platform for document ingestion and data extraction, built by a small team that includes founders from Harvard and IIT Bombay. It sits between the files your business already deals with and the systems that need the information inside them. Rather than selling a consumer scanning app, aOCR sells an API and a dashboard, so the people who buy it are usually developers, automation engineers, and operations leads wiring document workflows into a product or back office.
The core promise is structured output. Plain OCR gives you a wall of text and leaves the layout behind. aOCR goes further. It reads tables, graphs, equations, and layout positions, then returns data in formats like JSON, CSV, XML, and XLS. An invoice becomes fields you can validate, not a paragraph you retype.
The limits matter as much as the features. It isn't a free consumer tool. The entry point starts with 100 free credits, and after that usage is billed per page. Heavy volume gets expensive fast unless you move to a custom plan. Live rate limits on the base tier are low by design, at roughly one API call per minute. Need high throughput? You're looking at the Growth or Enterprise tier.
Getting Started
- Create an account at app.aocr.in and pick up the 100 free credits included with the Standard plan.
- Generate an API key from the dashboard, or connect a source like Gmail, Google Drive, or SharePoint.
- Upload a document or send it through the API, and choose whether you want a straight conversion or Smart Extraction into a defined schema.
- Review the structured output in the dashboard, then export it as JSON, CSV, XML, or XLS, or pipe it into your own system.
Product Information
A quick look at aOCR's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Backend and integration developers
- Teams building an OCR for developers workflow
- Operations and finance teams
- Startups testing document features
Tasks
- Turning scanned invoices and receipts into structured fields
- Digitizing reports and research PDFs
- Reading handwritten notes and forms
Scenarios
- A finance workflow that pulls totals and dates off supplier invoices
- A support or legal team scanning contracts in bulk
- A product team adding file upload and auto-fill to an app
Key features
Document Conversion API
The conversion endpoint turns almost any file into readable, structured text, billed at one credit per page. It covers 30-plus formats, from PDF and JPG to DOCX, XLSX, and PPTX. If all you need is clean text out of a messy source, this is the cheapest path on the platform. Simple.
Smart Extraction API
Where conversion gives you text, Smart Extraction gives you fields. You define a schema, and aOCR maps document contents into it, returning layout, bounding boxes, and extraction citations, at two credits per page. For anyone processing invoices or forms, this is the feature that removes the retyping step entirely. Big difference.
Multilingual and Handwritten Recognition
aOCR handles documents in over 100 languages and adds automatic translation for global workflows. Handwritten text recognition extends that to notes and filled-in forms. Teams working across regions can run one pipeline instead of juggling separate tools per language.
Integrations with Gmail, Drive, and SharePoint
Documents often live in email and cloud storage, not on a laptop. aOCR pulls from Gmail, Google Drive, and SharePoint, so you can point it at a source and let it ingest continuously. That fits recurring workflows better than a manual upload habit. Set it once.
Structured Output in JSON, CSV, XML, and XLS
Output choice matters because it decides how much glue code you write. aOCR returns data in JSON, CSV, XML, or XLS. Developers get machine-friendly JSON, while analysts can open the same extraction as a spreadsheet. Pick your format.
Security and Compliance Controls
The platform is built to HIPAA, GDPR, and enterprise security standards, with encryption in transit and at rest, and higher tiers add a Zero Data Retention agreement, VPC or on-prem deployment, SSO and SAML authentication, plus custom SLAs. Those options exist mainly for regulated industries like healthcare and finance.
Pros and cons
Pros
- High reported accuracy: 99.2% on printed text according to the vendor, with handwritten support as a separate capability.
- Broad format coverage: PDFs, images, spreadsheets, presentations, and docs all run through one pipeline.
- Structured, schema-mapped output with layout and citations, not just raw text.
- Cloud source integrations with Gmail, Drive, and SharePoint cut manual uploads.
Cons
- Per-page credit pricing adds up quickly at volume, so heavy users need a custom plan.
- The base tier's rate limit of about one API call per minute is too low for production-scale automation.
- There's no free forever tier beyond the initial 100 credits, which limits long-term testing.
- Enterprise-grade features like VPC deployment, SSO, and zero data retention sit behind the top plan.
Frequently asked questions
aOCR turns unstructured documents into structured data. Teams use it to pull fields from invoices, receipts, forms, and reports so the information can feed a database, spreadsheet, or app without manual entry.
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