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AI Investment / Brokerage Statement to Excel Converter

Most statement conversion tools fail when the same PDF contains account summaries, holdings tables, transaction histories, and dividend entries in completely different layouts — and every brokerage formats these sections differently. Custom Column Extraction reads each field by meaning regardless of layout, so one column definition works across Schwab, Fidelity, Vanguard, Robinhood, and Interactive Brokers alike.

5–10s per page · Up to 99% accuracy on printed text · No per-broker configuration

PDF
Scanned
XLSX/CSV
Batch

What You Can Extract from an Investment Statement

Type the column names you need — the AI finds each value by understanding what it means in the document, regardless of how the brokerage arranges its tables. One column definition works across every broker.

Account Number
Symbol / Ticker
Security Description
Quantity (Shares)
Price
Cost Basis
Market Value
Trade Date
Transaction Type
Dividend Amount
Fees
Total Account Value

Not a fixed list — type any field your statements contain. For fields like Realized Gain/Loss or % of Portfolio, describe the calculation in a Computed Column and the AI derives it during extraction.

Why Brokerage Statements Defy Template-Based Extraction

An investment statement is four distinct sections (account summary, holdings, transactions, dividends) packed into one PDF, each with a different structure. Template-based tools pinning fields to fixed coordinates fail because the layout never repeats across brokers.

The Problem

01 Each brokerage uses a completely different layout for the same financial data

Schwab packs holdings into a compact table; Fidelity spreads them across pages with interleaved footnotes; Vanguard tucks cost basis into an appendix. Same data, three completely different structures — a template trained on one broker's statement fails on another's.

02 Cost basis and gains live in separate sections — connecting them is manual work

Cost basis appears in the positions table; realized gain for the same security is in a separate capital gains section. Users on Reddit note that brokerages are removing CSV download options, leaving PDF-only and making this stitching problem worse.

03 Multi-broker consolidation means hours of re-keying per client

A wealth manager with clients across multiple brokerages must locate identical fields in different layouts and re-key each position. As one investor put it: "I have a rudimentary spreadsheet for my investments, but it has dawned on me that it's pretty time consuming to keep updating, even if it's monthly."

How Custom Column Extraction Solves This

01 The AI reads fields by meaning, not coordinates — each section is extracted independently

Custom Column Extraction lets you define what to extract. Name "Market Value" — the AI finds it in the holdings table. Name "Trade Date" — it locates dates in the transaction log. The AI identifies each field's section by context and headers, not coordinates.

02 One column set works across every brokerage — no per-broker templates

Type "Symbol," "Quantity," "Cost Basis," "Market Value" once — the same columns extract from Schwab, Fidelity, Vanguard, Robinhood, and Interactive Brokers because the AI reads by semantics, not position. No per-broker rules, no retraining. Add a Computed Column like "Unrealized Gain/Loss (Market Value − Cost Basis)" for AI-calculated results during extraction.

03 Batch consolidation merges every brokerage into one portfolio spreadsheet

Upload all statements as a single batch — the same column definition produces identical columns across all. Add an Inferred Column like "Brokerage (options: Schwab/Fidelity/Vanguard/IBKR)" and the AI tags each row by source. Hours of manual consolidation become one batch with audit-ready portfolio data.

From Brokerage PDF to Consolidated Portfolio Spreadsheet: How It Works

If you manage portfolio data across multiple brokerages, here is what the workflow looks like from upload to a unified holdings spreadsheet.

1

Upload statements from every brokerage — one batch, any format

Drop in PDFs from Schwab, Fidelity, Vanguard, Robinhood — born-digital PDFs or scanned paper statements. The tool accepts JPG, PNG, WebP, and PDF. Use a Collection Link to let clients upload statements directly to your queue without registering. For recurring monitoring, set up the Email Inbox — forward statements to your dedicated inbox and they land in queue automatically.

2

Define columns once — AI parses holdings, trades, and income

Enter "Symbol," "Quantity," "Cost Basis," "Market Value" for holdings; "Trade Date," "Transaction Type," "Amount" for activity; "Dividend Amount" for income. Add a Computed Column like "Unrealized Gain/Loss (Market Value − Cost Basis)" to see profit or loss without Excel post-processing. The same column config works across every brokerage in the batch.

3

Download consolidated portfolio — every holding, every account

Each position becomes one row. Holdings, transactions, and dividends from every brokerage align in identical columns. Computed Columns show derived values alongside extracted data. Export as XLSX, CSV, or JSON. Use Review Mode with Bbox verification to click any cell and see where the AI found the value on the original statement. Save your column setup as a template for next month's batch.

When It Works Best — and When to Be Cautious

When it works best

Digital PDFs from major brokerages. Schwab, Fidelity, Vanguard, Robinhood, Interactive Brokers — holdings (Symbol, Quantity, Cost Basis, Market Value) and activity extract accurately. The AI reads table structure from headers and content.

Multi-broker consolidation. Upload all statements in one batch — the same column set extracts from all layouts into one spreadsheet.

Recurring monthly tracking. Save your column setup as a template and reuse it every period — new statements land in identical columns for easy comparison.

When to be cautious

Lot-level cost basis in footnotes. Some brokerages report aggregate cost basis in the main table but relegate per-lot detail to footnotes. Extract main holdings first, then run a second pass targeting footnotes if per-lot detail is needed.

Low-resolution scanned statements. Paper scanned at 150 dpi or below reduces reliability for small-font text and numbers. Scan at 200+ dpi with straight alignment and verify the first batch before processing archives.

Multi-account household statements. Some brokerages cover IRA, joint, and 401k in one PDF. Use an Inferred Column like "Account (options: IRA/Joint/401k)" to classify rows by section header. Review the first statement before batching the rest.

Frequently Asked Questions

Can the AI extract Symbol, Quantity, Cost Basis, and Market Value from any brokerage statement?

Yes. Define columns named "Symbol," "Quantity," "Cost Basis," and "Market Value" — the AI locates each holding's data by understanding what the column headers mean in the document context, not by matching pixel positions. This works on Schwab, Fidelity, Vanguard, Robinhood, and Interactive Brokers statements regardless of each broker's layout. For funds where the statement shows "price" and "amount" but not cost basis separately, the AI extracts what is printed. If cost basis is missing from the main table but present in a separate lot detail section, run a second extraction pass with columns targeting that section.

How do I separate holdings data from the transaction log and dividend section?

Run separate extraction passes with different column sets. For holdings, use "Symbol," "Quantity," "Cost Basis," "Market Value." For transactions, use "Trade Date," "Transaction Type," "Security," "Quantity," "Amount." For dividends, use "Dividend Amount," "Record Date," "Pay Date." Each pass targets the relevant section of the statement independently. If you prefer a single pass, add an Inferred Column like "Section (options: Holdings/Activity/Dividends/Summary)" — the AI classifies each row by the section header context on the document, so holdings, trades, and dividends land in separately tagged rows within one output table.

Can I calculate unrealized gain/loss during extraction instead of in Excel?

Yes — using a Computed Column. Name your column "Unrealized Gain/Loss (Market Value − Cost Basis)" and the AI calculates the difference for every holding during extraction. The result appears as a column in your output alongside the extracted Market Value and Cost Basis. If you need gain/loss as a percentage, name it "Return % ((Market Value − Cost Basis) / Cost Basis × 100)." Computed Columns support row-level arithmetic, conditional logic, and cross-row aggregation — no post-processing in Excel required.

Does the tool handle password-protected PDF statements from brokerages?

Yes. The Email Inbox feature supports password-protected PDFs: save your commonly used statement passwords in your account settings beforehand, and the system tries them automatically against incoming encrypted attachments. For manual uploads, enter the password when prompted. Note that some brokerages use per-document unique passwords — passwords saved in advance work best for recurring statements from the same brokerage that use a consistent password.

Can I consolidate statements from multiple brokerages into one portfolio spreadsheet?

Yes. Upload statements from Schwab, Fidelity, Vanguard, Robinhood, and Interactive Brokers in a single batch. Define your column set once — "Symbol," "Quantity," "Cost Basis," "Market Value," "Dividend Amount" — and every statement produces data in the same columns regardless of layout. The output is one Excel file with every holding from every brokerage. Add an Inferred Column like "Brokerage (options: Schwab/Fidelity/Vanguard/Robinhood/IBKR)" to tag each row with its source for audit-ready portfolio attribution across accounts.

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