Shape / columns · All operations

Parse nested values

Parse or build JSON, XML, URL, key-value, nested structs and lists.

Status

In arcform

Runs as a SQL step

arcform carries it as a sql: step today.

Shape of the result
one row out per row in, with columns added or changed
Level
one clause of SQL

The DuckDB step

Read fields out of JSON

It reads the orders table the proofs share. Create it first:

SQL
CREATE TABLE orders AS SELECT * FROM (VALUES
  (1,  'Alice Ng',      'north', DATE '2026-01-03', 120.00, 'widget', 'a|b',   '{"channel":"web","items":[1,2]}'),
  (2,  'alice ng',      'north', DATE '2026-01-05',  80.50, 'gadget', 'b',     '{"channel":"shop","items":[3]}'),
  (3,  'Bob  Okafor',   'south', DATE '2026-01-05', 300.00, 'widget', 'a|c',   '{"channel":"web","items":[4,5,6]}'),
  (4,  'Carla Díaz',    'east',  DATE '2026-01-09',  NULL,  'gizmo',  NULL,    '{"channel":"web","items":[]}'),
  (5,  'Bob Okafor',    'south', DATE '2026-01-12',  45.25, 'gadget', 'c',     '{"channel":"phone","items":[7]}'),
  (6,  'Dev Patel',     'west',  DATE '2026-01-12', 510.00, 'widget', 'a',     '{"channel":"web","items":[8,9]}'),
  (7,  'Carla Diaz',    'east',  DATE '2026-01-20',  99.99, 'gizmo',  'b|c',   '{"channel":"shop","items":[10]}'),
  (8,  'Dev Patel',     'west',  DATE '2026-02-02', 510.00, 'widget', 'a',     '{"channel":"web","items":[8,9]}'),
  (9,  'Eve Larsen',    NULL,    DATE '2026-02-03',  15.00, 'gadget', NULL,    '{"channel":"web","items":[11]}'),
  (10, 'Alice Ng',      'north', DATE '2026-02-10', 220.00, 'gizmo',  'a|b|c', '{"channel":"phone","items":[12,13]}')
) t(order_id, customer, region, order_date, amount, product, tags, meta);

Then run the statement:

SQL
CREATE TEMP TABLE result AS
SELECT order_id, meta->>'channel' AS channel, json_array_length(meta->'items') AS n_items,
       from_json(meta, '{"channel":"VARCHAR","items":["INTEGER"]}') AS typed
FROM orders;
SELECT * FROM result;
SELECT CASE WHEN ((SELECT sum(n_items) = 15 AND count(*) FILTER (WHERE channel = 'web') = 6 AND max(typed.items[3]) = 6 FROM result)) THEN 'as expected' ELSE error('the JSON fields did not come out as 15 items, 6 web orders and a typed list') END AS verdict;
  • It needs nothing installed beyond DuckDB itself.
  • The statement checks its own result and raises an error when it is wrong: “the JSON fields did not come out as 15 items, 6 web orders and a typed list”.
  • It passed on DuckDB v2.0.0 (Cyanoptera) d54cbbe3df.

Variants

Combine rows into one nested value

Gather the values of many rows into a single JSON, XML or list value.

Decode log, network and binary records

Parse syslog, HL7, email header, NetFlow, IP, Avro or binary payloads into separate fields.

Other nested-value functions

General nested-type support and function families that mix building, reading and editing structs and unions.

Parse text into a nested value

Turn a text column holding JSON, XML or key-value pairs into a typed nested value in the same column.

Turn a nested document into table rows

Expand a JSON or XML document, or a list of records, into a table with one row per record or element.

What other tools call it

Meridian's classification; an independent blind rating agreed on 86.2% of 312 rows (exact class, version 2).

Alteryx Designer (3)
  • JSON Buildread 2026-09-27

    Rebuild JSON text from the name and value rows of JSON Parse

  • JSON Parseread 2026-09-27

    Split JSON text into name and value rows for downstream processing

  • XML Parseread 2026-09-27

    Parse XML text into individual fields

Apache DataFusion (7)
Apache Hop (7)
  • Add XMLread 2026-09-27

    Encode several fields of a row as an XML fragment in a new string column

  • Avro decoderead 2026-09-27

    Decode an Avro record column into separate typed fields

  • Avro encoderead 2026-09-27

    Encode chosen fields into a single Avro record column

  • Edi to XMLread 2026-09-27

    Convert EDIFACT message text to generic XML

  • XML Joinread 2026-09-27

    Insert XML fragments from one stream into a target XML document from another

  • XSL pipelineread 2026-09-27

    Transform XML files with an XSL stylesheet into XML, HTML or text

  • XSL transformationread 2026-09-27

    Apply an XSL stylesheet to XML held in a field or file

Apache NiFi (15)
  • AttributesToCSVread 2026-09-27

    Serialise FlowFile attributes as a CSV line, written to an attribute or to content

  • AttributesToJSONread 2026-09-27

    Serialise FlowFile attributes as a JSON object, written to an attribute or to content

  • EvaluateJsonPathread 2026-09-27

    Evaluate JsonPath expressions against JSON content; results go to attributes or replace content

  • EvaluateXPathread 2026-09-27

    Evaluate XPath expressions against XML content; results go to attributes or replace content

  • EvaluateXQueryread 2026-09-27

    Evaluate XQuery expressions against XML content; results go to attributes or replace content

  • ExtractEmailHeadersread 2026-09-27

    Extract the headers of an email into FlowFile attributes

  • ExtractHL7Attributesread 2026-09-27

    Extract the segments and fields of an HL7 message into FlowFile attributes

  • FlattenJsonread 2026-09-27

    Flatten a nested JSON document into single-level keys joined by a separator

  • JSLTTransformJSONread 2026-09-27

    Transform JSON content with a JSLT transformation

  • JoltTransformJSONread 2026-09-27

    Restructure JSON content with a Jolt transform specification

  • JoltTransformRecordread 2026-09-27

    Apply a Jolt specification to each record of a FlowFile

  • ParseNetflowv5read 2026-09-27

    Parse NetFlow v5 bytes into attributes or JSON content

  • ParseSyslogread 2026-09-27

    Parse an RFC 5424 or RFC 3164 syslog message into attributes

  • ParseSyslog5424read 2026-09-27

    Parse an RFC 5424 syslog message, including structured data, into attributes

  • TransformXmlread 2026-09-27

    Apply an XSLT stylesheet to XML content

Apache SeaTunnel (1)
  • JsonPathread 2026-09-27

    Extract values from a JSON field by JsonPath into new typed fields

AWS Glue (7)
  • Extract JSON pathread 2026-09-27

    Extract new columns from a JSON string column

  • Flattenread 2026-09-27

    Lift the fields inside structs to top-level fields

  • Parse JSON columnread 2026-09-27

    Parse a string column holding JSON into a struct or array column

  • Simplify_ddb_jsonread 2026-09-27

    Simplify nested columns that are in the DynamoDB JSON structure

  • Unboxread 2026-09-27

    Parse a string field that holds formatted data, such as JSON, into a struct

  • UnnestFrameread 2026-09-27

    Flatten nested objects to top-level fields and generate join keys for array objects

  • unnest_ddb_jsonread 2026-09-27

    Flatten nested columns that are in the DynamoDB JSON structure

Azure Data Factory (5)
  • Array functionsread 2026-09-27

    20 functions: array, at, contains, distinct, except, …

  • Collection functionsread 2026-09-27

    10 functions: contains, empty, first, intersection, join, …

  • Map functionsread 2026-09-27

    4 functions: associate, keyValues, mapAssociation, reassociate, …

  • Parseread 2026-09-27

    Parse string columns that hold JSON, delimited text or XML

  • Stringifyread 2026-09-27

    Turn complex-typed columns into plain strings

Bruin (3)
dbt-utils (4)
  • Array functionsread 2026-09-27

    3 macros: array_append, array_concat, array_construct

  • get_url_hostread 2026-09-27

    Extract the hostname from a URL column

  • get_url_parameterread 2026-09-27

    Extract a named query parameter from a URL column

  • get_url_pathread 2026-09-27

    Extract the page path from a URL column

DuckDB (6)
Duckle (12)
  • Array Distinctread 2026-09-25

    distinct elements of a list

  • Array Lengthread 2026-09-25

    length of a list

  • Containsread 2026-09-25

    boolean column: does the list contain a value

  • Element Atread 2026-09-25

    element of a list by index

  • Flattenread 2026-09-25

    flatten nested JSON into columns

  • IP Parseread 2026-09-25

    extract host, family, netmask or broadcast from IP or CIDR text

  • JSONPath Extractread 2026-09-25

    extract a value by JSON path

  • Merge Objectsread 2026-09-25

    merge JSON objects

  • Parse JSONread 2026-09-25

    parse JSON text

  • Stringify JSONread 2026-09-25

    serialise a value to JSON text

  • URL Parseread 2026-09-25

    extract scheme, host, port, path, query or fragment from a URL by regex

  • jq Filterread 2026-09-25

    transform a JSON column with a jq program

EasyMorph (7)
  • Construct JSONread 2026-09-27

    Build a JSON object from table values

  • Pull the values at given JSON paths into columns

  • Modify JSONread 2026-09-27

    Delete, replace or rename a JSON property, or reformat the JSON (paid editions only)

  • Parse JSONread 2026-09-27

    Turn a JSON object into a table

  • Parse XMLread 2026-09-27

    Turn XML into a table

  • Decode x-www-form-urlencoded form submissions into fields

  • XSLT transformationread 2026-09-27

    Apply XSLT stylesheets to an XML file on disk; the in-memory table is untouched

Ibis (49)
  • Arrayread 2026-09-27

    Build an array value from a list of expressions

  • ArrayAllread 2026-09-27

    Test whether every element of a boolean array is true

  • ArrayAnyread 2026-09-27

    Test whether any element of a boolean array is true

  • ArrayConcatread 2026-09-27

    Join two or more arrays end to end

  • ArrayContainsread 2026-09-27

    Test whether an array holds a given value

  • ArrayDistinctread 2026-09-27

    Reduce an array to its unique elements

  • ArrayFilterread 2026-09-27

    Keep the array elements for which a lambda is true

  • ArrayFlattenread 2026-09-27

    Remove one level of nesting from an array of arrays

  • ArrayIndexread 2026-09-27

    Get the array element at a given index

  • ArrayIntersectread 2026-09-27

    Keep the elements two arrays have in common

  • ArrayLengthread 2026-09-27

    Count the elements of an array

  • ArrayMapread 2026-09-27

    Apply a lambda to every element of an array

  • ArrayMaxread 2026-09-27

    Largest element of each array

  • ArrayMeanread 2026-09-27

    Mean of the elements of each array

  • ArrayMinread 2026-09-27

    Smallest element of each array

  • ArrayModeread 2026-09-27

    Most frequent element of each array

  • ArrayPositionread 2026-09-27

    Find the index of a value within an array

  • ArrayRemoveread 2026-09-27

    Drop every occurrence of a value from an array

  • ArrayRepeatread 2026-09-27

    Repeat the elements of an array a given number of times

  • ArraySliceread 2026-09-27

    Take a start-to-stop slice of an array

  • ArraySortread 2026-09-27

    Sort the elements of an array

  • ArrayStringJoinread 2026-09-27

    Join the strings of an array into one string with a separator

  • ArraySumread 2026-09-27

    Sum of the elements of each array

  • ArrayUnionread 2026-09-27

    Combine two arrays, keeping the distinct elements

  • ArrayZipread 2026-09-27

    Zip arrays element by element into an array of structs

  • ExtractAuthorityread 2026-09-27

    Extract the authority from a URL

  • ExtractFileread 2026-09-27

    Extract the file part from a URL

  • ExtractFragmentread 2026-09-27

    Extract the fragment from a URL

  • ExtractHostread 2026-09-27

    Extract the host from a URL

  • ExtractPathread 2026-09-27

    Extract the path from a URL

  • ExtractProtocolread 2026-09-27

    Extract the protocol from a URL

  • ExtractQueryread 2026-09-27

    Extract the query string, or one named parameter of it, from a URL

  • ExtractUserInforead 2026-09-27

    Extract the user info from a URL

  • JSONGetItemread 2026-09-27

    Get a value from a JSON object by key, or from a JSON array by index

  • Mapread 2026-09-27

    Build a map from an array of keys and an array of values

  • MapContainsread 2026-09-27

    Test whether a map has a given key

  • MapGetread 2026-09-27

    Look up a map value by key, with a default when the key is absent

  • MapKeysread 2026-09-27

    Keys of a map as an array

  • MapLengthread 2026-09-27

    Count the keys of a map

  • MapMergeread 2026-09-27

    Combine two maps into one; on a shared key the value from the first map is kept

  • MapValuesread 2026-09-27

    Values of a map as an array

  • StructColumnread 2026-09-27

    Build a struct column from named expressions

  • StructFieldread 2026-09-27

    Extract one named field from a struct value

  • ToJSONArrayread 2026-09-27

    Convert a JSON value into an array of JSON values

  • ToJSONMapread 2026-09-27

    Convert a JSON value into a map from string keys to JSON values

  • UnwrapJSONBooleanread 2026-09-27

    Extract a JSON boolean as a native boolean

  • UnwrapJSONFloat64read 2026-09-27

    Extract a JSON number as a native 64-bit float

  • UnwrapJSONInt64read 2026-09-27

    Extract a JSON number as a native 64-bit integer

  • UnwrapJSONStringread 2026-09-27

    Extract a JSON string as a native string

KNIME Analytics Platform (20)
  • Column to XMLread 2026-09-27

    Build one XML element per row from column values, with custom name and attributes

  • Columns to Collectionread 2026-09-27

    Collect several columns into one list or set column

  • Columns to JSONread 2026-09-27

    Build one JSON object per row from selected columns

  • JSON Column Combinerread 2026-09-27

    Combine several JSON columns into one JSON column

  • JSON Diffread 2026-09-27

    Compute a JSON patch describing the difference between two JSON columns

  • JSON Pathread 2026-09-27

    Extract values from a JSON column by JSONPath queries into new columns

  • JSON Path (Dictionary)read 2026-09-27

    Extract JSON values using JSONPath queries supplied in a second table

  • JSON Row Combinerread 2026-09-27

    Combine the JSON values of all rows into a single JSON value

  • JSON Transformerread 2026-09-27

    Apply a JSON patch or merge patch to a JSON column

  • JSON to Tableread 2026-09-27

    Flatten a JSON column into columns by inferring its structure

  • JSON to XMLread 2026-09-27

    Convert JSON values to XML documents

  • Pack probability columns, or one-hot a string column, into a probability-distribution cell

  • String to JSONread 2026-09-27

    Parse string values into JSON values

  • String to XMLread 2026-09-27

    Parse string values into XML values

  • Table to JSONread 2026-09-27

    Convert selected columns into a single JSON value, row-wise or column-wise

  • XML Column Combinerread 2026-09-27

    Merge several XML columns into one XML column

  • XML Row Combinerread 2026-09-27

    Combine the XML cells of a column into a single XML value

  • XML to JSONread 2026-09-27

    Convert XML values to JSON values

  • XPathread 2026-09-27

    Run XPath queries on an XML column into new columns

  • XSLTread 2026-09-27

    Apply XSLT stylesheets to the cells of an XML column

OpenRefine (4)
Pentaho Data Integration (5)
  • Add XMLread 2026-09-27

    Encode several fields into an XML fragment

  • Edi to XMLread 2026-09-27

    Convert an Edifact message to XML to ease extraction

  • HBase row decoderread 2026-09-27

    Decode an incoming HBase key and result object into fields through a mapping

  • XML Joinread 2026-09-27

    Join a stream of XML tags into a target XML string

  • XSL Transformationread 2026-09-27

    Transform an XML stream with an XSL stylesheet

Polars (12)
  • DataFrame.to_structread 2026-09-27

    Pack the columns of each row into one struct value, giving a Series

  • DataFrame.unnestread 2026-09-27

    Spread the fields of struct columns into separate columns

  • Expr.arr (group)read 2026-09-27

    29 expressions: get, contains, sort, unique, sum and others; work on the elements of fixed-size array values

  • Expr.list (group)read 2026-09-27

    44 expressions: get, contains, eval, set_union, explode and others; work on the elements of list values

  • Expr.str: JSON (group)read 2026-09-27

    2 expressions: json_decode, json_path_match; parse JSON text into typed values, or pull one JSONPath match

  • Expr.struct (group)read 2026-09-27

    7 expressions: field, unnest, rename_fields, with_fields, json_encode and others; read and edit struct fields

  • 12 functions: ARRAY_AGG, ARRAY_CONTAINS, ARRAY_GET, ARRAY_LENGTH, ARRAY_LOWER and others; SQL array functions

  • concat_arrread 2026-09-27

    Join several columns row by row into one fixed-size array column

  • concat_listread 2026-09-27

    Join several columns row by row into one list column

  • json_normalizeread 2026-09-27

    Flatten nested, already-decoded JSON records into a flat table

  • listread 2026-09-27

    Collect several columns into a list column, one element per expression

  • structread 2026-09-27

    Pack several columns into one struct column

Power Query M (16)
  • Binary functionsread 2026-09-27

    40 functions: BinaryFormat.Record, BinaryFormat.List, Binary.Decompress, Binary.FromText, Binary.ToText

  • Json.FromValueread 2026-09-27

    Serialise a value to JSON as binary in a given text encoding

  • List functionsread 2026-09-27

    71 functions: List.Transform, List.Select, List.Sum, List.Distinct, List.Generate

  • Record functionsread 2026-09-27

    23 functions: Record.Field, Record.ToTable, Record.FromList, Record.TransformFields, Geography.FromWellKnownText

  • Merge several columns into one record-valued column keyed by the source column names

  • Spread the fields of a record-valued column into separate columns

  • Table.FromColumnsread 2026-09-27

    Build a table from a list of column value lists, with optional names or types

  • Table.FromListread 2026-09-27

    Turn a list into a table, splitting each item into columns with a splitter function

  • Table.FromRecordsread 2026-09-27

    Turn a list of records into a table, one row per record

  • Table.FromRowsread 2026-09-27

    Build a table from a list of row value lists, with optional column names or types

  • Table.FromValueread 2026-09-27

    Wrap any value or list of values as a single-column table

  • Table.ToColumnsread 2026-09-27

    Return the table as a list of lists, one inner list per column

  • Table.ToListread 2026-09-27

    Collapse each row to one value with a combiner function and return the list

  • Table.ToRecordsread 2026-09-27

    Return the table as a list of records, one per row

  • Table.ToRowsread 2026-09-27

    Return the table as a list of lists, one inner list per row

  • Uri functionsread 2026-09-27

    4 functions: Uri.Parts, Uri.BuildQueryString, Uri.Combine, Uri.EscapeDataString

RapidMiner Studio (10)
  • Data To JSONread 2026-09-27

    Build nested JSON documents from the rows of a table

  • Decode URLsread 2026-09-27

    URL-decode the values of selected columns

  • Encode URLsread 2026-09-27

    URL-encode the values of selected columns

  • Extract Contentread 2026-09-27

    Extract the main text blocks from an HTML document, skipping short boilerplate

  • Extract Informationread 2026-09-27

    Extract values from a document into metadata by string match, regex, XPath or index

  • Generate Extractread 2026-09-27

    Add columns extracted from a text column by XPath, JSONPath, regex or string matching

  • HTML to XMLread 2026-09-27

    Convert an HTML document into well-formed XML

  • JSON To Dataread 2026-09-27

    Flatten JSON documents into table rows and columns

  • JSON to XMLread 2026-09-27

    Convert a JSON document to XML

  • Process XSLTread 2026-09-27

    Transform an XML document with an XSLT stylesheet

Talend (12)
  • tDSQL4JSONread 2026-09-27

    Transform JSON input into JSON output with a DSQL query

  • tEDIFACTtoXMLread 2026-09-27

    Convert an EDIFACT message file to XML by EDIFACT version and family

  • tExtractDynamicFieldsread 2026-09-27

    Parse a column of Dynamic type into standard output columns

  • tExtractJSONFieldsread 2026-09-27

    Extract values from a JSON column by JSONPath or XPath queries

  • tExtractXMLFieldread 2026-09-27

    Extract values from an XML column into the output schema

  • tWriteAvroFieldsread 2026-09-27

    Serialise rows into Avro binaries for components that need serialised input

  • tWriteDynamicFieldsread 2026-09-27

    Combine input columns into one output column of Dynamic type

  • tWriteJSONFieldread 2026-09-27

    Build a JSON field from the columns of the incoming rows

  • tWriteXMLFieldread 2026-09-27

    Build an XML structure from the input columns and write it into a field

  • tWriteXMLFieldsread 2026-09-27

    Serialise the columns of each row into one XML string or byte array column

  • tXMLMapread 2026-09-27

    Map and route XML documents between inputs and outputs, optionally joined with flat data

  • tXSLTread 2026-09-27

    Transform an XML file into an output file with an XSL stylesheet

Trifacta (8)
  • Extract key-value pairs from text into an Object column

  • Extract query stringsread 2026-09-27

    Extract fields from a URL query string

  • Extractkv Transformread 2026-09-27

    Extract key-value pairs from a string column into an Object column

  • Nest Transformread 2026-09-27

    Build an Object or Array column from the names and values of several columns

  • Nest columnsread 2026-09-27

    Convert columns into an Object or Array column

  • 22 functions: ARRAYCONCAT, ARRAYSTOMAP, ARRAYZIP, KEYS, LISTSUM; array and Object manipulation

  • Unnest Transformread 2026-09-27

    Unpack keys of an Object or elements of an Array into new columns

  • Unnest elementsread 2026-09-27

    Extract elements of an Object or Array into columns

VisiData (12)
  • addcol-selectorread 2026-09-23

    Add column extracting elements by a CSS selector

  • addcol-xmlattrread 2026-09-23

    Add column for a named XML attribute

  • contract-colread 2026-09-23

    Remove expanded child columns and restore the parent column

  • contract-col-depthread 2026-09-23

    Contract current column's expansion to a given depth

  • contract-colsread 2026-09-23

    Remove all expanded child columns and restore their parents

  • contract-cols-depthread 2026-09-23

    Contract all expansions to a given depth

  • contract-source-colsread 2026-09-23

    From Columns Sheet, contract selected columns into one grouped column

  • dive-xml-tableread 2026-09-23

    Open the children of current XML element as a table

  • expand-colread 2026-09-23

    Expand current column of lists or dicts into one column per key, one level

  • expand-col-depthread 2026-09-23

    Expand current column of lists or dicts to a given depth

  • expand-colsread 2026-09-23

    Expand all visible columns of lists or dicts one level

  • expand-cols-depthread 2026-09-23

    Expand all visible columns of lists or dicts to a given depth

Background

In DuckDB, JavaScript Object Notation (JSON) can be read with extraction functions or transformed all at once into the nested types LIST and STRUCT.[1] First normal form, defined by Edgar F. Codd, asks that each field hold a single value rather than a set of values or a nested table.[2] DuckDB's nested types are ARRAY, LIST, MAP, STRUCT, TUPLE, UNION and VARIANT, and each has its own rules for what a column may hold.[3]

When to use it

JSON is a lightweight, text-based, language-independent data interchange format derived from the ECMAScript Programming Language Standard.[4] In DuckDB, the JSON type is logically a VARCHAR restricted to valid JSON, and it is stored physically as a VARCHAR.[5] In DuckDB, whitespace and the order of keys are both significant when two JSON values are compared, so {"a":1,"b":2} does not equal {"b":2,"a":1}.[5] JSON itself defines an object as an unordered collection of zero or more name/value pairs.[4] Compare parsed values rather than JSON text whenever a test asks whether two documents say the same thing. (Meridian's view)

When the names within a JSON object are not unique, the behaviour of software that receives it is unpredictable: many implementations report the last pair only, and others report an error.[4] In DuckDB, duplicate keys are allowed in JSON objects.[5]

The method

DuckDB's nested types differ in what they ask of each row: a STRUCT must have the same keys in every row, a MAP may have different keys, and a LIST may have any number of elements.[3] DuckDB's unnest turns a LIST into one row per element and a STRUCT into one column per member.[6]

Compared with the alternatives

Most relational database management systems do not support table-valued columns, and normalisation to first normal form breaks nested relations up into separate relations linked by foreign keys.[2]

Types it works with

FineType's registry gives 90 types a decompose expression.

TypeExpression
Comma-Separated Values (Simple)STRING_SPLIT({col}, ',')
Pipe-Separated ValuesSTRING_SPLIT({col}, '|')
Semicolon-Separated ValuesSTRING_SPLIT({col}, ';')
Whitespace-Separated ValuesSTRING_SPLIT(TRIM({col}), '\s+')
HTML Content
Compact Year-Month (YYYYMM)
Japanese Imperial Year (Long/Kanji)
Japanese Imperial Year (Short)
Month/Year (slash-separated)
Year-Month (ISO truncated)
Fiscal Year
Calendar Quarter
ABA Routing Number
BSB Number
IBAN
SWIFT/BIC
Bitcoin Address
Currency Amount (US Format)
Currency Amount (US Accounting)
Currency Amount (Swiss Apostrophe)
Currency Amount (ISO Code Prefix)
Currency Amount (EU Format)
Currency Amount (EU Suffix)
Currency Amount (Cryptocurrency)
Currency Amount (Indian Lakh/Crore)
Currency Amount (Multi-Character Symbol)
Currency Amount (Trailing Negative)
Currency Amount (Zero-Decimal Currency)
Currency Amount (Space-Separated Thousands)
Credit Card Number
Basis Points
Financial Yield / Return
CUSIP
FIGI
ISIN
LEI
Full Address
Postal Code
International Calling Code
Coordinate Pair (Lat, Lon)
Degrees Minutes Seconds
UN/LOCODE
EAN
ISBN
ISRC
EU VAT Number
US Social Security Number
Blood Type
Email Address
Email with Display Name
Full Name
Height
Phone Number (E.164)
Phone Number
Weight
File Extension
File Size
MIME Type
Color (HSL)
Color (RGB)
Alphanumeric Identifier
Decimal Number
Decimal Number (Comma Separator)
Percentage
Scientific Notation
CAS Registry Number
DNA Sequence
InChI Identifier
Protein Sequence
RNA Sequence
Plain Text
AWS ARN
S3 URI
DOI
Locale Code
Qualified Name
Cryptographic Hash
JSON Web Token
Calendar Version
Docker/OCI Image Reference
Version Number
Filename
Windows File Path
Snowflake ID
CIDR Notation
Data URI
IPv4 Address with Port
Email Message-ID
URL
URN

Used in

5 Protocols use this operation: