2 datasets found
  1. d

    Company Financial Data | Multi-Source Docs | Extraction & Structuring (100+...

    • datarade.ai
    Updated Feb 14, 2025
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    Elsai (2025). Company Financial Data | Multi-Source Docs | Extraction & Structuring (100+ Languages, 5K Docs/Hour) | Standardized Outputs | Compliance & Analysis [Dataset]. https://datarade.ai/data-products/company-financial-data-multi-source-docs-extraction-str-elsai
    Explore at:
    .json, .xml, .csv, .sql, .txtAvailable download formats
    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Elsai
    Area covered
    Belize, Guinea-Bissau, Togo, Åland Islands, Virgin Islands (U.S.), Lao People's Democratic Republic, Sri Lanka, El Salvador, Bangladesh, Tonga
    Description

    Transform Unstructured Financial Docs into Actionable Insights Harness proprietary AI models to extract, validate, and standardize financial data from any document format, including scanned images, handwritten notes, or multi-language PDFs. Unlike basic OCR tools, our solution handles complex layouts, merged cells, poor quality PDFs and low-quality scans with industry-leading precision.

    Key Features Universal Format Support: Extract data from scanned PDFs, images (JPEG/PNG), Excel, Word, and any other handwritten documents.

    AI-Driven OCR & LLM Standardization:

    1. Convert unstructured text into standardized fields (e.g., "Net Profit" → ISO 20022-compliant tags).

    2. Resolve inconsistencies (e.g., "$1M" vs. "1,000,000 USD") using context-aware LLMs.

    3. 100+ Language Coverage: Process financial docs in Arabic, Bulgarian, and more with automated translation.

    4. Up to 99% Accuracy: Triple-validation via AI cross-checks, rule-based audits, and human-in-the-loop reviews.

    5. Prebuilt Templates: Auto-detect formats for common documents (e.g., IFRS-compliant P&L statements, IRS tax forms).

    Data Sourcing & Output Supported Documents: Balance sheets, invoices, tax filings, bank statements, receipts and more. Export Formats: Excel, CSV, JSON, API, PostgreSQL, or direct integration with tools like QuickBooks, SAP.

    Use Cases 1. Credit Risk Analysis: Automate financial health assessments for loan approvals and vender analysis.

    1. Audit Compliance: Streamline data aggregation for GAAP/IFRS audits.

    2. Due Diligence: Verify company legitimacy for mergers, investments, acquisitions, or partnerships.

    3. Compliance: Streamline KYC/AML workflows with automated financials check.

    4. Invoice Processing: Extract vendor payment terms, due dates, and amounts.

    Technical Edge 1. AI Architecture: Leverages proprietary algorithm which combines vision transformers and OCR pipelines for layout detection, LLM models for context analysis, and rule-based validation.

    1. Security: SOC 2 compliance, and on-premise storage options.

    2. Latency: Process as much as 10,000 pages/hour with sub-60-second extractions.

    Pricing & Trials Pay-as-you-go (min 1,000 docs/month).

    Enterprise: Custom pricing for volume discounts, SLA guarantees, and white-glove onboarding.

    Free Trial Available

  2. Balance of payments, financial account, net, quarterly data

    • data.europa.eu
    • opendata.marche.camcom.it
    csv, html, tsv, xml
    Updated Jan 31, 2020
    + more versions
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    Eurostat (2020). Balance of payments, financial account, net, quarterly data [Dataset]. https://data.europa.eu/data/datasets/c0pirckdc1wzoov7tyg?locale=en
    Explore at:
    tsv(8366), csv(17061), xml(11396), xml(13602), htmlAvailable download formats
    Dataset updated
    Jan 31, 2020
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Balance of Payments is the statistical statement that systematically summarises transactions between residents and non-residents. It consists of the goods and services account, the primary income account, the secondary income account, the capital account and the financial account (BPM6 – 2.12) The financial account shows net acquisition and disposal of financial assets and liabilities The financial account indicates the functional categories, sectors, instruments, and maturities used for net international financing transactions. (BPM6 – 8.1). Five functional categories of investment are distinguished in the international accounts: a) direct investment, b) portfolio investment, c) financial derivatives and employee stock options, d) other investment and e) reserve assets. (BPM6 – 6.1). Source of euro area data: European Central Bank (ECB).

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Elsai (2025). Company Financial Data | Multi-Source Docs | Extraction & Structuring (100+ Languages, 5K Docs/Hour) | Standardized Outputs | Compliance & Analysis [Dataset]. https://datarade.ai/data-products/company-financial-data-multi-source-docs-extraction-str-elsai

Company Financial Data | Multi-Source Docs | Extraction & Structuring (100+ Languages, 5K Docs/Hour) | Standardized Outputs | Compliance & Analysis

Explore at:
.json, .xml, .csv, .sql, .txtAvailable download formats
Dataset updated
Feb 14, 2025
Dataset authored and provided by
Elsai
Area covered
Belize, Guinea-Bissau, Togo, Åland Islands, Virgin Islands (U.S.), Lao People's Democratic Republic, Sri Lanka, El Salvador, Bangladesh, Tonga
Description

Transform Unstructured Financial Docs into Actionable Insights Harness proprietary AI models to extract, validate, and standardize financial data from any document format, including scanned images, handwritten notes, or multi-language PDFs. Unlike basic OCR tools, our solution handles complex layouts, merged cells, poor quality PDFs and low-quality scans with industry-leading precision.

Key Features Universal Format Support: Extract data from scanned PDFs, images (JPEG/PNG), Excel, Word, and any other handwritten documents.

AI-Driven OCR & LLM Standardization:

  1. Convert unstructured text into standardized fields (e.g., "Net Profit" → ISO 20022-compliant tags).

  2. Resolve inconsistencies (e.g., "$1M" vs. "1,000,000 USD") using context-aware LLMs.

  3. 100+ Language Coverage: Process financial docs in Arabic, Bulgarian, and more with automated translation.

  4. Up to 99% Accuracy: Triple-validation via AI cross-checks, rule-based audits, and human-in-the-loop reviews.

  5. Prebuilt Templates: Auto-detect formats for common documents (e.g., IFRS-compliant P&L statements, IRS tax forms).

Data Sourcing & Output Supported Documents: Balance sheets, invoices, tax filings, bank statements, receipts and more. Export Formats: Excel, CSV, JSON, API, PostgreSQL, or direct integration with tools like QuickBooks, SAP.

Use Cases 1. Credit Risk Analysis: Automate financial health assessments for loan approvals and vender analysis.

  1. Audit Compliance: Streamline data aggregation for GAAP/IFRS audits.

  2. Due Diligence: Verify company legitimacy for mergers, investments, acquisitions, or partnerships.

  3. Compliance: Streamline KYC/AML workflows with automated financials check.

  4. Invoice Processing: Extract vendor payment terms, due dates, and amounts.

Technical Edge 1. AI Architecture: Leverages proprietary algorithm which combines vision transformers and OCR pipelines for layout detection, LLM models for context analysis, and rule-based validation.

  1. Security: SOC 2 compliance, and on-premise storage options.

  2. Latency: Process as much as 10,000 pages/hour with sub-60-second extractions.

Pricing & Trials Pay-as-you-go (min 1,000 docs/month).

Enterprise: Custom pricing for volume discounts, SLA guarantees, and white-glove onboarding.

Free Trial Available

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