Bank Statement Processing

Run multiple statements through the same workflow and collect transactions row-by-row.

Workflow fields

We recommend creating this workflow in the anyformat platform where you can test with sample statements and iterate on field descriptions. Copy the workflow ID to use with the API.

Field	Type	Description
`account_holder`	string	Name on the account
`account_number`	string	Account number (masked or full)
`statement_period_start`	date	Start of statement period
`statement_period_end`	date	End of statement period
`opening_balance`	float	Balance at start of period
`closing_balance`	float	Balance at end of period
`total_deposits`	float	Sum of all deposits
`total_withdrawals`	float	Sum of all withdrawals
`transaction_count`	integer	Number of transactions
`transactions`	object	Individual transactions (date / description / amount / type)

End-to-end

Python package + class names are provisional. pip install anyformat-sdk and from anyformat.sdk import Client work today, but both are expected to change before the official launch — pin the version you ship with.

curl
TypeScript
Python

# 1. Create the workflow
curl -X POST 'https://api.anyformat.ai/v2/workflows/' \
  -H 'Content-Type: application/json' \
  -H "Authorization: Bearer $ANYFORMAT_API_KEY" \
  -d '{
    "name": "Bank Statement Processor",
    "description": "Extract statement summary and transactions",
    "nodes": [
      {"id": "parse_1", "type": "parse"},
      {
        "id": "extract_1",
        "type": "extract",
        "extraction_schema": {
          "fields": [
            {"name": "account_holder",         "description": "Name of the account holder as shown on the statement", "data_type": "string"},
            {"name": "account_number",         "description": "Bank account number, may be partially masked",         "data_type": "string"},
            {"name": "statement_period_start", "description": "First day of the statement period",                    "data_type": "date"},
            {"name": "statement_period_end",   "description": "Last day of the statement period",                     "data_type": "date"},
            {"name": "opening_balance",        "description": "Account balance at the start of the period",           "data_type": "float"},
            {"name": "closing_balance",        "description": "Account balance at the end of the period",             "data_type": "float"},
            {"name": "total_deposits",         "description": "Total amount deposited during the statement period",    "data_type": "float"},
            {"name": "total_withdrawals",      "description": "Total amount withdrawn during the statement period",    "data_type": "float"},
            {"name": "transaction_count",      "description": "Total number of transactions in the statement period",  "data_type": "integer"},
            {
              "name": "transactions",
              "description": "Individual transactions listed on the statement",
              "data_type": "object",
              "nested_fields": [
                {"name": "date",        "description": "Date of the transaction",                                                "data_type": "date"},
                {"name": "description", "description": "Transaction description or memo",                                        "data_type": "string"},
                {"name": "amount",      "description": "Transaction amount (positive for deposits, negative for withdrawals)",  "data_type": "float"},
                {
                  "name": "type",
                  "description": "Type of transaction",
                  "data_type": "enum",
                  "enum_options": [
                    {"name": "deposit",    "description": "Incoming deposit"},
                    {"name": "withdrawal", "description": "Outgoing withdrawal"},
                    {"name": "fee",        "description": "Bank fee or charge"},
                    {"name": "transfer",   "description": "Transfer between accounts"},
                    {"name": "interest",   "description": "Interest earned or charged"}
                  ]
                }
              ]
            }
          ]
        }
      }
    ],
    "edges": [{"source": "parse_1", "target": "extract_1"}]
  }'

# 2. Run each statement (stay under the 60 req/min file-submission limit)
for f in statement-jan.pdf statement-feb.pdf statement-mar.xlsx; do
  curl -X POST 'https://api.anyformat.ai/v2/workflows/WORKFLOW_ID/run/' \
    -H "Authorization: Bearer $ANYFORMAT_API_KEY" \
    -F "file=@$f"
  sleep 1
done

# 3. Poll each collection_id for results
curl -H "Authorization: Bearer $ANYFORMAT_API_KEY" \
  'https://api.anyformat.ai/v2/workflows/WORKFLOW_ID/files/COLLECTION_ID/results/'

import { Anyformat, Schema } from "@anyformat/sdk";

const af = new Anyformat({ apiKey: process.env.ANYFORMAT_API_KEY! });

// Create the workflow once, then reuse the handle for every statement.
const workflow = await af
  .workflow("Bank Statement Processor", "Extract statement summary and transactions")
  .parse()
  .extract([
      Schema.string("account_holder",         "Name of the account holder as shown on the statement"),
      Schema.string("account_number",         "Bank account number, may be partially masked"),
      Schema.date("statement_period_start",   "First day of the statement period"),
      Schema.date("statement_period_end",     "Last day of the statement period"),
      Schema.float("opening_balance",         "Account balance at the start of the period"),
      Schema.float("closing_balance",         "Account balance at the end of the period"),
      Schema.float("total_deposits",          "Total amount deposited during the statement period"),
      Schema.float("total_withdrawals",       "Total amount withdrawn during the statement period"),
      Schema.integer("transaction_count",     "Total number of transactions in the statement period"),
      Schema.object("transactions", "Individual transactions listed on the statement", [
        Schema.date("date",          "Date of the transaction"),
        Schema.string("description", "Transaction description or memo"),
        Schema.float("amount",       "Transaction amount (positive for deposits, negative for withdrawals)"),
        Schema.enum("type", "Type of transaction", [
          Schema.option("deposit",    "Incoming deposit"),
          Schema.option("withdrawal", "Outgoing withdrawal"),
          Schema.option("fee",        "Bank fee or charge"),
          Schema.option("transfer",   "Transfer between accounts"),
          Schema.option("interest",   "Interest earned or charged"),
        ]),
      ]),
    ])
  .create();

// Submit every statement against the existing workflow id.
const files: File[] = /* an array of File objects with .name set */;
for (const file of files) {
  const run = await workflow.run(file);
  const result = await run.wait();
  console.log(result.field("account_holder")?.value, result.field("closing_balance")?.value);
}

import os
from anyformat.sdk import Client
from anyformat.workflow import Schema

client = Client(api_key=os.environ["ANYFORMAT_API_KEY"])

workflow = (
    client.workflow("Bank Statement Processor")
    .parse()
    .extract([
        Schema.string("account_holder",         "Name of the account holder as shown on the statement"),
        Schema.string("account_number",         "Bank account number, may be partially masked"),
        Schema.date("statement_period_start",   "First day of the statement period"),
        Schema.date("statement_period_end",     "Last day of the statement period"),
        Schema.float("opening_balance",         "Account balance at the start of the period"),
        Schema.float("closing_balance",         "Account balance at the end of the period"),
        Schema.float("total_deposits",          "Total amount deposited during the statement period"),
        Schema.float("total_withdrawals",       "Total amount withdrawn during the statement period"),
        Schema.integer("transaction_count",     "Total number of transactions in the statement period"),
        Schema.object("transactions", "Individual transactions listed on the statement", fields=[
            Schema.date("date",          "Date of the transaction"),
            Schema.string("description", "Transaction description or memo"),
            Schema.float("amount",       "Transaction amount (positive for deposits, negative for withdrawals)"),
            Schema.enum("type", "Type of transaction", options=[
                Schema.option("deposit",    "Incoming deposit"),
                Schema.option("withdrawal", "Outgoing withdrawal"),
                Schema.option("fee",        "Bank fee or charge"),
                Schema.option("transfer",   "Transfer between accounts"),
                Schema.option("interest",   "Interest earned or charged"),
            ]),
        ]),
    ])
    .create()
)

for path in ["statement-jan.pdf", "statement-feb.pdf", "statement-mar.xlsx"]:
    result = workflow.run(path).wait()
    print(result.fields["account_holder"].value, result.fields["closing_balance"].value)

    # Iterate transactions from the raw extractions array
    rows = result.raw["extractions"][0]["fields"]["transactions"]
    for txn in rows:
        if txn["type"]["value"] == "fee":
            print(f"Fee: {txn['description']['value']} — ${abs(txn['amount']['value'])}")

Tips

XLSX statements yield better results than scanned PDFs — the data is structured in cells rather than requiring OCR.

Describe amount as “positive for deposits, negative for withdrawals” to get a consistent sign convention.
Submit serially with a small delay (or run multiple workflows in parallel) to stay under the 60 req/min file-submission limit.
integer transaction_count is a quick sanity check against the length of the extracted rows.

Bank Statement Processing

Workflow fields

End-to-end

Tips

Next steps

Response formats

List files

Documentation Index

​Workflow fields

​End-to-end

​Tips

​Next steps

Response formats

List files

Workflow fields

End-to-end

Tips

Next steps