Fibr AI

1. What is Fibr.ai?

Positioning: Fibr.ai is an AI-powered data extraction platform focused on transforming unstructured PDF documents into clean, structured, and actionable data. It caters primarily to developers, data teams, and businesses aiming to automate data entry and integration from high volumes of diverse PDF documents.

Functional Panorama: Covers core modules for document ingestion, AI-driven data extraction, and structured data output. It features a configurable extraction engine that allows users to define specific data fields (key-value pairs, tables, lists), an intuitive interface for reviewing and correcting extracted data, and robust integration capabilities where the API supports seamless connection with existing workflows and other business applications.

2. Fibr.ai’s Use Cases

• Financial Teams can use Fibr.ai to automate the extraction of data from invoices, purchase orders, and financial statements to streamline accounts payable, expense management, and reporting.
• Legal Professionals can leverage Fibr.ai for contract analysis, extracting key clauses, dates, and entities from legal documents for compliance checks and due diligence.
• Supply Chain Management can utilize Fibr.ai to process shipping documents, customs forms, and inventory reports, enabling faster data entry and improved operational efficiency.
• Data Engineers and Developers can integrate Fibr.ai’s API into their applications to automatically convert PDF data into structured formats (JSON, CSV, Excel) for further analysis or database ingestion.
• Healthcare Administrators can extract patient information from medical records, insurance claims, and lab results, enhancing data accuracy and reducing manual processing time for regulatory compliance.

3. Fibr.ai’s Key Features

• Supports highly accurate AI-powered data extraction from various PDF types, including scanned documents and native PDFs, handling complex layouts and tables.
• Offers flexible data structuring, allowing users to define custom schemas for key-value pairs, tables, and lists, ensuring output data meets specific integration needs.
• Provides a collaborative review dashboard for human-in-the-loop validation and correction of extracted data, improving overall accuracy and reliability.
• Data Transformation & Validation added in October 2023 – Enables users to clean, transform, and validate extracted data directly within the platform, reducing post-extraction processing.
• Enhanced Table Extraction Models updated in September 2023 – Significantly improved accuracy and structure retention for complex and multi-page tables within PDFs.
• Advanced Document Preprocessing introduced in June 2023 – Allows for operations like rotating, splitting, or merging PDFs before extraction, optimizing input quality.
• Users recommend the API playground for rapid prototyping and testing custom extraction configurations.

4. How to Use Fibr.ai?

Fibr.ai streamlines PDF data extraction through a straightforward workflow, enhanced by advanced tips:

1. Upload Documents: Begin by uploading your PDF files to the Fibr.ai platform or ingesting them via the API. For optimal results, ensure your PDFs are clear and legible.
2. Define Extraction Schema: Create or select a template to define the specific data fields you want to extract from your documents. Fibr.ai’s AI will then learn and apply this schema.
3. AI Extraction & Review: The platform’s AI automatically processes the documents based on your defined schema. Review the extracted data in the intuitive dashboard, making any necessary corrections or validations.
4. Export & Integrate: Once validated, export your structured data in preferred formats like JSON, CSV, or Excel. Integrate directly into your systems using Fibr.ai’s API, Zapier, or webhooks.

Pro Tips:

• When configuring your schema, utilize the “Annotate Example” feature to guide the AI with specific examples from your PDFs for higher accuracy.
• For complex, inconsistent documents, leverage the “Data Transformation” features to clean and standardize output data before export, saving downstream processing time.
• To maximize efficiency with large batches, integrate Fibr.ai’s API directly into your document ingestion pipeline, allowing for automated processing and reducing manual intervention.
• Explore the Zapier integration to connect Fibr.ai with hundreds of other apps, automating tasks like pushing extracted invoice data directly into accounting software.

5. Fibr.ai’s Pricing & Access

• Free tier: Supports up to 50 pages/month, 2 collaborators, basic integrations, and standard support, ideal for testing and small-scale projects.
• Starter tier: Priced at $49/month (or $39/month billed annually), includes 500 pages/month, access to all core features, and up to 5 collaborators.
• Growth tier: Available at $149/month (or $119/month billed annually), offering 2000 pages/month, all features, and unlimited collaborators, suitable for growing teams.
• Enterprise tier: Custom pricing with volume discounts, dedicated support, custom integrations, and Single Sign-On (SSO) capabilities, designed for large organizations with specific requirements.
• Web Dynamics: Fibr.ai occasionally offers limited-time promotional discounts for new annual subscriptions, often seen at the end of quarters or during seasonal campaigns. Users in online tech communities have noted competitive pricing compared to legacy OCR solutions, especially for developer-centric workflows.
• Tier Differences: Higher tiers unlock increased page processing volumes, more collaborators, and priority support, with the Enterprise tier providing bespoke solutions for highly specific and large-scale data extraction needs.

6. Fibr.ai’s Comprehensive Advantages

• Competitor Contrasts: Fibr.ai’s AI-driven extraction offers significantly higher accuracy and adaptability to varying document layouts compared to traditional OCR tools, reducing manual correction time by up to 70% while being more accessible and developer-friendly than enterprise solutions like Kofax or ABBYY.
• Rapid Implementation: Its intuitive API and pre-built integrations allow for quicker setup and integration into existing systems compared to custom-coded or heavily configured solutions, enabling data teams to deploy in days rather than weeks.
• Superior Table Extraction: With recent enhancements, Fibr.ai demonstrates a leading capability in accurately extracting complex, multi-line, and irregular tables from PDFs, outperforming many competitors in this specific challenge.
• Market Recognition: Users on platforms like G2 Crowd consistently rate Fibr.ai highly for its “ease of use” and “effective data extraction,” with overall user satisfaction for its core extraction module often reported above 90%.
• Continuous AI Improvement: The platform regularly updates its underlying AI models, leading to continuous improvements in extraction precision and support for new document types without requiring user intervention.