Extract Text from Earnings Reports and 10-Ks for Financial Modeling
Financial analysts building models from earnings releases, 10-K filings, and sell-side research PDFs spend disproportionate time on extraction — copying management commentary, footnotes, and segment data that PDF viewers were not designed to export cleanly. Deliteful extracts embedded text from up to 50 financial PDFs simultaneously, producing plain-text output ready for model input, sentiment analysis, or earnings transcript review.
Quarterly earnings season means processing the same document types across dozens of companies in a compressed window. A single S&P 500 sector coverage universe can mean 20–30 earnings PDFs arriving within days of each other, each requiring manual text extraction before any analysis can begin. Batch extraction collapses that preprocessing step: upload the full queue, receive one .txt per filing, and feed directly into your model or NLP pipeline. For 10-K filings averaging 150–300 pages, the time savings over manual copy-paste are substantial.
The per-file output mode preserves company-level identity, which matters when each extracted file maps to a ticker in a downstream model or database. The combined output mode suits cross-company text analysis — earnings call transcript sentiment comparison, for example, or identifying which companies in a sector used specific forward-guidance language. Both modes produce UTF-8 plain text with content ordered by PDF reading sequence.
How it works
- 1
Upload financial filing PDFs
Add earnings releases, 10-K or 10-Q filings, sell-side research PDFs, or investor presentation decks — up to 50 files per batch.
- 2
Select output structure
Per-file for ticker-mapped model inputs; combined for cross-company text analysis or sentiment workflows.
- 3
Feed into your analysis tools
Download .txt files and import into Excel, Python, or your financial data platform for parsing, modeling, or NLP analysis.
Frequently asked questions
- Can I extract text from SEC EDGAR filings downloaded as PDFs?
- Yes. PDFs downloaded from EDGAR are native digital documents that extract cleanly. The full text of the filing — including MD&A, footnotes, and exhibits — is captured in reading order.
- Will financial tables like income statements extract with their structure intact?
- Table content is extracted but column alignment is not preserved. Rows and figures will be present in the output, but without consistent spacing between columns. For structured financial data, parsing the extracted text with a script or Excel power query is more reliable than expecting tabular formatting.
- Can I use this for earnings call transcript PDFs?
- Yes. Transcript PDFs from services like Refinitiv or FactSet are native digital and extract cleanly, preserving speaker labels and Q&A structure as they appear in the document.
- How many filings can I process in one batch?
- Up to 50 PDFs per batch, each up to 300 MB. A typical 10-K runs 5–20 MB as a PDF, so a full earnings season queue for a sector coverage universe fits comfortably in one or two batches.
Create your free Deliteful account with Google and extract text from your entire earnings season PDF queue in one batch.