portfolios.tools

CSV to Financial JSON Converter Tool

Free CSV to financial JSON converter normalizes broker CSV exports into clean JSON arrays. Auto detects delimiters and maps financial columns to standard fields.

Results
[
  {
    "date": "2024-01-01",
    "symbol": "AAPL",
    "type": "BUY",
    "quantity": 10,
    "price": 150
  }
]

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$5
$1$50

How It Works

Paste broker CSV export data into the text area. The tool detects delimiters, identifies financial columns, and converts to a structured JSON array. Each row becomes a normalized transaction record with standardized field names ready for further analysis. Export transactions from Schwab, Fidelity, Interactive Brokers, or Robinhood as CSV. Paste into the text area and the tool maps columns like Date, Symbol, Action, Quantity, and Amount to a clean JSON array. Download CSV from broker activity page covering full tax year. Paste up to several thousand rows: parsing runs locally without row limits. Strip summary footer rows from broker CSV before paste because footers can confuse row detection. Export transactions from Schwab, Fidelity, Interactive Brokers, or Robinhood as CSV. Paste into the text area and the tool maps columns like Date, Symbol, Action, Quantity, and Amount to a clean JSON array. Upload broker CSV exports: tool maps columns to normalized transaction JSON with ticker, date, quantity, price, and fees. Export transactions from Schwab, Fidelity, Interactive Brokers, or Robinhood as CSV. Paste into the text area and the tool maps columns like Date, Symbol, Action, Quantity, and Amount to a clean JSON array. Upload broker CSV exports: tool maps columns to normalized transaction JSON with ticker, date, quantity, price, and fees. Export transactions from Schwab, Fidelity, Interactive Brokers, or Robinhood as CSV. Paste into the text area and the tool maps columns like Date, Symbol, Action, Quantity, and Amount to a clean JSON array.

Review the parsed JSON output with standardized field names (date, symbol, type, quantity, price, amount) and type information for each column. Export the clean JSON data for use in other portfolio analysis tools. Use the JSON output to feed portfolio trackers, tax lot analyzers, or custom dashboards. Standardized field names reduce manual cleanup before import. Download JSON for import into custom scripts using date, symbol, type, quantity, price, and amount fields consistently. Validate row count in JSON matches CSV data rows minus header before importing to downstream tools. Use the JSON output to feed portfolio trackers, tax lot analyzers, or custom dashboards. Standardized field names reduce manual cleanup before import. Preset maps cover common US brokers; custom column mapping handles international CSV with semicolon delimiters. Use the JSON output to feed portfolio trackers, tax lot analyzers, or custom dashboards. Standardized field names reduce manual cleanup before import. Preset maps cover common US brokers; custom column mapping handles international CSV with semicolon delimiters. Use the JSON output to feed portfolio trackers, tax lot analyzers, or custom dashboards. Standardized field names reduce manual cleanup before import.

Use the JSON output to feed portfolio trackers, tax lot analyzers or custom dashboards. Standardized field names reduce manual cleanup before importing into downstream analysis tools.

Use CSV to Financial JSON Converter whenever inputs change: after market moves, new contributions, or revised personal assumptions. Bookmark the page for quick reruns without installing software.

Step by step

  1. Paste your CSV transaction data
  2. Review detected columns and their mapped types
  3. Copy or download the JSON output

Worked example

Paste broker CSV export data into the text area. Enter the sample inputs described in How it works to reproduce the scenario step by step.

Adjust one input at a time to see sensitivity. CSV to Financial JSON Converter updates instantly so you can stress test optimistic and conservative assumptions before acting.

When to use this calculator

Reach for CSV to Financial JSON Converter when normalize broker csv exports into json arrays.. It suits quick what if analysis before trades, allocation changes, or plan updates.

Pair with related tools when the decision spans taxes, liquidity, or multi year projections beyond what one formula captures.

Common mistakes

Copying outputs without checking input units or stale market prices is a frequent error with CSV to Financial JSON Converter. Confirm tickers, percentages, and dates before acting.

Running a single baseline scenario ignores tail risks. Stress test with conservative inputs and compare against related tools listed below when the decision is material.

The Formula

Delimiter detection: max split count on first line. Header normalization to lowercase alphanumeric. Column mapping via alias lookup table. Type inference by regex: date = /^\d{4}-\d{2}-\d{2}/, number = /^-?\d+(\.\d+)?$/.

Financial column aliases map common broker column names to standardized field names. Alias table covers common US broker headers. Add manual column rename in your spreadsheet for exotic export formats. Re-parse after editing CSV headers in spreadsheet for one time broker format fixes. Alias table covers common US broker headers. Add manual column rename in your spreadsheet for exotic export formats. Prices not validated against market data: typos in CSV propagate to JSON without automatic correction. Alias table covers common US broker headers. Add manual column rename in your spreadsheet for exotic export formats. Prices not validated against market data: typos in CSV propagate to JSON without automatic correction. Alias table covers common US broker headers. Add manual column rename in your spreadsheet for exotic export formats.

Limitations and assumptions

Financial column aliases map common broker column names to standardized field names. Alias table covers common US broker headers. Add manual column rename in your spreadsheet for exotic export formats. Re-parse after editing CSV headers in spreadsheet for one time broker format fixes. Alias table covers common US broker headers. Add manual column rename in your spreadsheet for exotic export formats. Prices not validated against market data: typos in CSV propagate to JSON without automatic correction. Alias table covers common US broker headers. Add manual column rename in your spreadsheet for exotic export formats. Prices not validated against market data: typos in CSV propagate to JSON without automatic correction. Alias table covers common US broker headers. Add manual column rename in your spreadsheet for exotic export formats. CSV to Financial JSON Converter does not replace personalized advice. Fees, slippage, account specific rules, and behavioral constraints may change real world outcomes.

Key terms

How does delimiter and column detection work
The tool detects delimiters (comma, semicolon, tab, pipe) by counting which character produces the most columns in the first line.
What column types are auto detected
Date: YYYY-MM-DD or MM/DD/YYYY patterns.
Model assumption
Known aliases include: date (Date, Trade Date), symbol (Ticker, Instrument), type (Action, Transaction Type), quantity (Qty, Shares), price (Unit Price, Rate), amount (Total, Value, Proceeds).

Compare alternatives

Explore more free calculators on portfolios. Use those calculators when csv to financial json converter alone does not capture the full decision.

Internal links on portfolios.tools help you chain calculators: run CSV to Financial JSON Converter first, then validate edge cases with a specialized tool from the related section below.

FAQ

How does delimiter and column detection work?

The tool detects delimiters (comma, semicolon, tab, pipe) by counting which character produces the most columns in the first line. Headers are normalized and matched against known financial column aliases. Tab separated exports from European brokers and comma separated US exports both work. The detector picks the delimiter with the most consistent column count. UTF-8 encoding preserves international symbols. Re-export with UTF-8 if accented characters garble. Tab separated exports from European brokers and comma separated US exports both work. The detector picks the delimiter with the most consistent column count. Split corporate actions may need manual adjustment: parser flags suspicious quantity jumps for review. Tab separated exports from European brokers and comma separated US exports both work. The detector picks the delimiter with the most consistent column count. Split corporate actions may need manual adjustment: parser flags suspicious quantity jumps for review. Tab separated exports from European brokers and comma separated US exports both work. The detector picks the delimiter with the most consistent column count.

What column types are auto detected?

Date: YYYY-MM-DD or MM/DD/YYYY patterns. Number: matches numeric patterns with optional decimal. String: everything else. Type inference uses the first data row as a sample. Mixed columns like Description with embedded symbols may map as strings. Review the type column and adjust source CSV headers if needed. Currency columns with dollar signs strip to numbers automatically when formatted as 1,234.56. Mixed columns like Description with embedded symbols may map as strings. Review the type column and adjust source CSV headers if needed.

Which column names are automatically mapped?

Known aliases include: date (Date, Trade Date), symbol (Ticker, Instrument), type (Action, Transaction Type), quantity (Qty, Shares), price (Unit Price, Rate), amount (Total, Value, Proceeds). Dividend, buy, sell, transfer, and fee actions map when headers match common aliases. Rename nonstandard headers before paste for best results. Reverse chronological exports parse correctly because detection uses header row not sort order. Dividend, buy, sell, transfer, and fee actions map when headers match common aliases. Rename nonstandard headers before paste for best results.

Does it work with any broker CSV export?

Broker specific export formats with quoted fields and mixed delimiters are supported by the quote stripping and delimiter auto detection. Not all formats guaranteed. Multi account exports with account ID columns are supported as extra fields. Split files by account if you need separate JSON per portfolio. Options assignment rows map when Action column includes Assigned or Expired keywords. Multi account exports with account ID columns are supported as extra fields. Split files by account if you need separate JSON per portfolio. UTF8 with BOM from Excel is handled: save as CSV UTF8 if accented broker names break parsing. Multi account exports with account ID columns are supported as extra fields. Split files by account if you need separate JSON per portfolio. UTF8 with BOM from Excel is handled: save as CSV UTF8 if accented broker names break parsing. Multi account exports with account ID columns are supported as extra fields. Split files by account if you need separate JSON per portfolio.

Is my CSV data private?

All processing runs in your browser. Your CSV data is never sent to a server. The parsed JSON result stays on your device. Your sensitive transaction data remains under your control at all times. Processing is local only. Sensitive transaction history never uploads to a server, suitable for confidential account data. Copy JSON directly into developer tools or Jupyter notebook for immediate analysis without saving files. Processing is local only. Sensitive transaction history never uploads to a server, suitable for confidential account data. Output JSON feeds portfolio trackers and tax lot importers: validate against schema before production import. Processing is local only. Sensitive transaction history never uploads to a server, suitable for confidential account data. Output JSON feeds portfolio trackers and tax lot importers: validate against schema before production import. Processing is local only. Sensitive transaction history never uploads to a server, suitable for confidential account data.

How do I use this CSV to financial JSON converter on a phone or tablet?

Yes. CSV to Financial JSON Converter runs entirely in your mobile browser with the same formulas as desktop. Optional localStorage may remember inputs on your device when enabled in browser settings.

Where is my data stored when I use CSV to Financial JSON Converter?

Nowhere on our servers. Calculations execute locally in your browser. Optional localStorage saves form fields on your device only and never transmits portfolio numbers over the network.

Should I rely on CSV to Financial JSON Converter for tax or legal decisions?

No. CSV to Financial JSON Converter provides educational math only. Tax law, account rules, and personal circumstances vary. Consult a qualified tax or legal professional before transactions with material consequences.

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