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Process a Check

POST 
/api/v8/partner/checks

Veryfi's Process a Check endpoint allows you to submit and extract data from unstructured documents such as Checks and turn them into valuable business insights. The Process a Check endpoint enables you to submit the following image formats: .heif,.jpg,.png,.jpeg,.webp,.zip,.heic,.pdf and retrieve extracted data in JSON format. The max file size is 20mb, min file size is 0.25kb. Rate limit is 20 requests per second.

Request​

Body

    crop_document (boolean | null)

    A parameter used to determine whether or not disable document cropping. Cropping is on by default

    bounding_boxes (boolean | null)

    A field used to determine whether or not to return bounding_box and bounding_region for extracted fields in the Document response.

    confidence_details (boolean | null)

    A field used to determine whether or not to return the score and ocr_score fields in the Document response.

    external_id (string | null)

    Possible values: non-empty

    A custom identification value. Use this if you would like to assign your own ID to documents. This parameter is useful when mapping this document to a service or resource outside Veryfi.

    meta.tags string[]

    Possible values: non-empty

    Default value: ``

    Tags you want to associate with the document.

    package_path (string | null)

    Possible values: non-empty

    A path to a file in an S3 bucket, e.g. 'some/receipt.jpg

    bucket (string | null)

    Possible values: non-empty

    An S3 bucket for 'package_path', e.g. 'documents'.

    file_data (string | null)

    Possible values: non-empty

    Used to upload a document via base64 encoded string, could be raw or data URI scheme. This is the least effective way to upload a document for processing. See file_urls or uploading zip files.

    file_url (string | null)

    Possible values: non-empty

    A URL to a publicly accessible document to be sent to Veryfi for processing.

    file_urls string[]

    Possible values: non-empty

    An array of URLs to publicly accessible documents to be sent to Veryfi for processing.

    file_name (string | null)

    Possible values: non-empty

    An optional filename. Useful to determine file type.

Responses​

Returns a processed Check.

Schema
    anyOf
    external_id (string | null)

    Possible values: non-empty

    A custom identification value. Use this if you would like to assign your own ID to documents. This parameter is useful when mapping this document to a service or resource outside Veryfi.

    meta object
    external_id (string | null)

    Possible values: non-empty

    A custom identification value. Use this if you would like to assign your own ID to documents. This parameter is useful when mapping this document to a service or resource outside Veryfi.

    pages object[]

    Pages meta details

  • Array [
    • ocr_score (number | null)

    Possible values: <= 1

    The average OCR score of the page.

    width (integer | null)

    The width of the page.

    height (integer | null)

    The height of the page.

    is_blurry ClassNullableBoolField

    The processed page is blurry or not

    score (number | null)

    Possible values: <= 1

    The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

    value (boolean | null)required

    The extracted value.

    is_front (boolean | null)

    Specifies whether the image represents the front side of the check.

    tiff_url uri

    Possible values: non-empty and <= 2083 characters

    The urls of the tiff file.

    tiff_upscaled (boolean | null)

    Specifies whether the tiff file is upscaled.

  • ]
    • tags string[]

    Possible values: non-empty

    Default value: ``

    Tags associated with the document.

    ocr_score (number | null)

    Possible values: <= 1

    The average OCR score of the whole document.

    model (string | null)

    Possible values: non-empty

    The version of the model used to process the document.

    original_file_name (string | null)

    Possible values: non-empty

    The original file name of the uploaded document.

    source string

    Possible values: [api.email, api.web, api, browser_extension, lens.bill, lens.invoice, lens.long_receipt, lens.other, lens.receipt, lens.web, lens]

    Default value: api

    The source of the document's submission for processing.

    duplicates object[]

    An array of duplicate documents found in the system.

  • Array [
    • id integerrequired

    The id of the duplicate document.

    url urirequired

    Possible values: non-empty and <= 2083 characters

    The url of the duplicate document.

  • ]
    • fraud ChecksFraud

    An object that contains additional information to help check for fraud.

    score (number | null)

    Possible values: <= 1

    Confidence of Fraud Detector in it's prediction

    color (string | null)

    Possible values: [green, yellow, red]

    Color from Fraud Detector: green means legitimate, yellow means review needed and red means fraud

    not_a_document ClassBoolField

    The detection behind the not a document fraud type, including its verdict and confidence score.

    score (number | null)

    Possible values: <= 1

    The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

    value booleanrequired

    The extracted value.

    types string[]

    Possible values: [LCD photo, not a document, duplicate, digital background, screenshot, generated document, ai generated, fraudulent pdf, fraudulent image, digital tampering, high velocity, critical velocity, generic content, stopwords, aspect ratio mismatch]

    List of attributions which marked the document as fraud

    details CheckFraudDetails

    Strictly typed descriptions and reasons keyed by fraud type.

    lcd_photo _FraudTypeDetails
    description stringrequired

    Possible values: non-empty

    Human-readable explanation of the fired fraud type.

    not_a_document _FraudTypeDetails
    description stringrequired

    Possible values: non-empty

    Human-readable explanation of the fired fraud type.

    duplicate _FraudTypeDetails
    description stringrequired

    Possible values: non-empty

    Human-readable explanation of the fired fraud type.

    digital_background _FraudTypeDetails
    description stringrequired

    Possible values: non-empty

    Human-readable explanation of the fired fraud type.

    screenshot _ScreenshotDetails
    description stringrequired

    Possible values: non-empty

    Human-readable explanation of the fired fraud type.

    reasons object[]
  • Array [
    • name stringrequired

    Possible values: [mobile_screenshot, other_screenshot]

    description stringrequired

    Possible values: non-empty

  • ]
    • generated_document _GeneratedDocumentDetails
    description stringrequired

    Possible values: non-empty

    Human-readable explanation of the fired fraud type.

    reasons object[]
  • Array [
    • name stringrequired

    Possible values: [ai_generated_provenance, ai_enhanced_provenance, possible_ai_provenance, provenance_integrity_clash, headless_browser_render, server_side_render]

    description stringrequired

    Possible values: non-empty

    field (string | null)
    value (string | null)

    Possible values: non-empty

  • ]
    • ai_generated _FraudTypeDetails
    description stringrequired

    Possible values: non-empty

    Human-readable explanation of the fired fraud type.

    fraudulent_pdf _FraudulentPDFDetails
    description stringrequired

    Possible values: non-empty

    Human-readable explanation of the fired fraud type.

    reasons object[]
  • Array [
    • anyOf
    name stringrequired

    Possible values: [text_overlay, font_mismatch, modified, date_inversion, producer_content_mismatch, writer_mismatch, null_metadata, xmp_info_mismatch, future_metadata_date, raster_profile_mismatch, uncompressed_raster, double_jpeg, scrubbed_provenance]

    description stringrequired

    Possible values: non-empty

  • ]
    • fraudulent_image _FraudulentImageDetails
    description stringrequired

    Possible values: non-empty

    Human-readable explanation of the fired fraud type.

    reasons object[]
  • Array [
    • anyOf
    name stringrequired

    Possible values: [double_jpeg, scrubbed_provenance, unprofiled_png, unprofiled_webp, synthetic_raster]

    description stringrequired

    Possible values: non-empty

  • ]
    • digital_tampering _FraudTypeDetails
    description stringrequired

    Possible values: non-empty

    Human-readable explanation of the fired fraud type.

    high_velocity _FraudTypeDetails
    description stringrequired

    Possible values: non-empty

    Human-readable explanation of the fired fraud type.

    critical_velocity _FraudTypeDetails
    description stringrequired

    Possible values: non-empty

    Human-readable explanation of the fired fraud type.

    generic_content _FraudTypeDetails
    description stringrequired

    Possible values: non-empty

    Human-readable explanation of the fired fraud type.

    stopwords _FraudTypeDetails
    description stringrequired

    Possible values: non-empty

    Human-readable explanation of the fired fraud type.

    aspect_ratio_mismatch _FraudTypeDetails
    description stringrequired

    Possible values: non-empty

    Human-readable explanation of the fired fraud type.

    submissions object

    The amount of submissions from specific device id, used in velocity fraud detection.

    property name* integer
    duplicate_detection_method (string | null)

    Possible values: [text_similarity, field_matching]

    Method used to detect duplicates for fraud

    duplicates object[]

    An array of duplicate documents found for purposes of fraud detection

  • Array [
    • id integerrequired

    The id of the duplicate document.

    url urirequired

    Possible values: non-empty and <= 2083 characters

    The url of the duplicate document.

  • ]
    • fraudulent_pdf FraudulentPDFResult

    Results of the pdf analysis. Every key is always reported, so a check nothing could answer is null rather than missing.

    fraudulent_pdf_creator (number | null)
    text_overlay (number | null)
    font_mismatch (number | null)
    has_digital_signature (boolean | null)
    pdf_modified (number | null)
    incremental_updates (integer | null)
    incremental_changes string[]

    Possible values: non-empty

    What incremental PDF revisions changed.

    incremental_edits object[]

    Which word an incremental PDF revision replaced, and on which page.

  • Array [
    • page integerrequired

    Possible values: > 0

    1-based number of the page the edit landed on.

    before (string | null)

    Possible values: non-empty

    The replaced word, or null when the word was inserted.

    after (string | null)

    Possible values: non-empty

    The replacing word, or null when the word was deleted.

  • ]
    • signature_creation_tools string[]

    Possible values: non-empty

    date_inversion (number | null)
    producer_content_mismatch (number | null)
    writer_mismatch (number | null)
    null_metadata (number | null)
    xmp_info_mismatch (number | null)
    future_metadata_date (number | null)
    raster_profile_mismatch (number | null)
    uncompressed_raster (number | null)
    spliced_page (number | null)
    spliced_page_number (integer | null)

    Possible values: > 0

    1-based number of the first page written after the pages surrounding it. Later pages may belong to the same block.

    headless_desktop_render (number | null)

    Score for a PDF an automated browser rendered from a desktop operating system. It is reported here but scored against the generated document signal, so it does not move the fraudulent pdf score.

    headless_render_platform (string | null)

    Possible values: non-empty

    Operating system named by the headless browser that rendered the PDF. Reported for every headless render, including the server platforms that do not score.

    double_jpeg (number | null)

    Score for a raster that was JPEG-compressed more than once. An original capture is compressed exactly once, so a second compression means the file is not the first-generation scan it presents itself as. Null when nothing was in a position to answer, which is not the same as a 0.0 saying something was examined and this did not fire. Disabled by default, so it reports null until it is enabled for your account.

    first_quantization_quality (integer | null)

    Possible values: > 0

    JPEG quality of the first compression, recovered from the coefficient histograms. Evidence for a reviewer rather than a score, and null when nothing coherent was recovered.

    scrubbed_provenance (number | null)

    Score for a raster whose encoder signature carries no provenance: grayscale content in a subsampled colour JPEG, no EXIF, a placeholder JFIF density and a stock quantization table. Reaches the same conclusion as double_jpeg for a re-encode too coarse to leave a recoverable first compression. Null when nothing was in a position to answer, which is not the same as a 0.0 saying something was examined and this did not fire. Disabled by default, so it reports null until it is enabled for your account.

    score (number | null)

    Highest of the scores above, and what the fraudulent pdf signal contributes. Stays a number where its fraudulent_image counterpart would report null: pdf_modified answers off exif-reader's signals rather than off a document we opened, so there is an aggregate to report even for an upload holding no PDF. With the signal off every other key is null, which is how that case is told apart from an upload that merely carried no PDF.

    fraudulent_image FraudulentImageResult

    Results of the image forensics analysis, for a document that arrived as a picture rather than a PDF. Absent when the signal is switched off for your account.

    double_jpeg (number | null)

    Score for a document image that was JPEG-compressed more than once. An original capture is compressed exactly once, so a second compression means the file is not the first-generation photo it presents itself as. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire. Only a JPEG-family raster can answer it, so a PNG reports null. Disabled by default.

    scrubbed_provenance (number | null)

    Score for a document image whose encoder signature carries no provenance: grayscale content in a subsampled colour JPEG, no EXIF, a placeholder JFIF density and a stock quantization table. Reaches the same conclusion as double_jpeg for a re-encode too coarse to leave a recoverable first compression. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire. Disabled by default.

    first_quantization_quality (integer | null)

    Possible values: > 0

    JPEG quality of the first compression, recovered from the coefficient histograms. Evidence for a reviewer rather than a score, and absent when nothing coherent was recovered.

    editor_signature (number | null)

    Score for an image that names an image editor in its own metadata. Read as a reason to review rather than to reject: an editor naming itself on a photograph may be an honest user cropping a receipt before uploading it, which is why it scores lower here than the same tool named on a PDF. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire. Formats that carry neither an ICC profile nor EXIF, which is BMP and GIF, can never answer it.

    editor_signature_field (string | null)

    Possible values: [icc_profile, exif:Software, exif:ProcessingSoftware, xmp:CreatorTool, png:Software, jpeg:comment]

    Which metadata surface named the editor. Exactly one is ever reported, the first that matched.

    editor_signature_value (string | null)

    Possible values: non-empty

    The literal string the file declared, which is what a reviewer acts on rather than the score.

    generator_signature (number | null)

    Score for an image a server-side rendering library declares it wrote, such as libgd naming itself in a JPEG comment segment. Scores far above the editor signature because the finding is different: an editor names itself on a photograph somebody cropped, while a rendering library names itself on a page nothing ever photographed. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire. Only a format that can carry metadata can answer it.

    generator_signature_field (string | null)

    Possible values: [icc_profile, exif:Software, exif:ProcessingSoftware, xmp:CreatorTool, png:Software, jpeg:comment]

    Which metadata surface named the library. The same surfaces the editor signature reads, and as there exactly one is ever reported.

    generator_signature_value (string | null)

    Possible values: non-empty

    The literal string the file declared, which is what a reviewer acts on.

    generator_writer_profile (number | null)

    The same finding on a format where nothing is declared: a PNG whose chunk sizing, compression level and absence of provenance are libpng's own defaults, which is how the same libraries emit PNG. Reported rather than inferred from the file naming itself, because on this format it never does. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire. Only a PNG can answer it.

    generator_writer_profile_value (string | null)

    Possible values: non-empty

    The writer profile that matched, naming the evidence rather than restating the score. Deliberately has no _field companion, unlike the two signatures above: the profile is read off the container itself rather than off one named surface.

    synthetic_raster (number | null)

    Score for a raster too flat to have come off a sensor: an indexed palette, very few distinct colours, or no chroma variation at all. Ships at 0.0 and so contributes nothing to score — it is reported for the rate while a screenshot of a genuine receipt is still indistinguishable from a drawn one. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire.

    synthetic_raster_fingerprints string[]

    Possible values: non-empty

    Which of those measurements matched, sorted. Evidence for a reviewer rather than a score, and the set grows as the detector learns to name more of them, so read it as a list of strings rather than a fixed vocabulary.

    unprofiled_png (number | null)

    Score for a PNG carrying no colour or provenance chunk at all, as a rendering library writes and a camera pipeline does not. Ships at 0.0 for the same reason as synthetic_raster: screenshot tools and our own rasterizer write the identical bare file. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire. Only a PNG can answer it.

    unprofiled_webp (number | null)

    The same check on WebP, and ships at 0.0 for a different reason than the two above: too little genuine WebP has been seen to say what the rate would be. Null when no file was in a position to answer, which is not the same as a 0.0 saying one was examined and this did not fire. Only a WebP can answer it.

    source (string | null)

    Possible values: [original, render]

    Which bytes were read. original is the upload as submitted and is the only value for which the compression scores above can be reported. render is a page render taken after cropping, rotation and format conversion, which destroys compression evidence and can manufacture it, so those two report null against it. Null means nothing was selected to read at all; a file that was selected but could not be fetched or opened reports a source together with a non-zero unreadable_source.

    source_formats string[]

    Possible values: non-empty

    Formats of the files that were read, as the image library names them. Note HEIF rather than HEIC, and MPO for a .jpg holding multiple frames, as a phone HDR capture does.

    unreadable_source (integer | null)

    How many selected files could not be opened. Can exceed one on a multi-file upload. A non-zero value here alongside a set source is the expected shape when an original has already been deleted, rather than a fault.

    score (number | null)

    Highest of the scores above, and what the fraudulent image signal contributes. Follows the same rule they do: null when not one of them was in a position to answer, and 0.0 when at least one was and nothing fired. So a page render scores a real 0.0, the compression pair having declined but the editor signature having run. The checks that ship at 0.0 are in the max like any other, which is why they can report a hit without moving it.

    pages object[]

    An array containing fraud info about each extracted page

  • Array [
    • anyOf
    is_lcd ClassBoolField
    score (number | null)

    Possible values: <= 1

    The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

    value booleanrequired

    The extracted value.

    flags object[]

    List of flags which marked the document as fraud

  • Array [
    • score (number | null)

    Possible values: <= 1

    The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

    value stringrequired

    Possible values: non-empty

  • ]
    • ai_generated ClassBoolField
    score (number | null)

    Possible values: <= 1

    The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

    value booleanrequired

    The extracted value.

    handwriting object[]

    An array containing handwriting info about each extracted page

  • Array [
    • bounding_region number[]required

    Possible values: >= 8, <= 8

    Bounding region of the artifact in [x1,y1,x2,y2,x3,y3,x4,y4] format

    type stringrequired

    Possible values: non-empty

    Type of the artifact

    score number
  • ]
    • digital_tampering object[]

    An array containing digital tampering info about each extracted page

  • Array [
    • bounding_region number[]required

    Possible values: >= 8, <= 8

    Bounding region of the artifact in [x1,y1,x2,y2,x3,y3,x4,y4] format

    type stringrequired

    Possible values: non-empty

    Type of the artifact

    score number
  • ]
    • four_corners_detected (boolean | null)

    Indicates that all four corners of the check are visible and within the boundaries of the image.

  • ]
    • warnings object[]

    An array of warnings to help catch errors or fraud on the processed check.

  • Array [
    • type stringrequired

    Possible values: [tax_rate_mismatch, item_counts_mismatch, totals_mismatch, line_item_amount_mismatch, line_item_repeats, barcode_decoding_issue, barcode_code_missing_in_ocr, logo_vendor_mismatch, malware, weekend_transaction, time_and_currency_mismatch, exif_creation_modified_date_mismatch, missing_date, suspicious_document_aspect_ratio, generic_placeholder_content]

    Type of the warning, e.g. barcode_code_missing_in_ocr. Type is an enumerated field and comes from a defined number of enumerated values.

    message stringrequired

    Possible values: non-empty

    The detailed message about the warning.

  • ]
    • amount_text_value (number | null)

    The original amount_text found in the check converted to a float.

    handwritten_fields string[]

    Possible values: [amount, amount_text, bank_address, bank_name, fractional_routing_number, micr.raw, check_number, date, memo, payer_address, payer_name, receiver_address, receiver_name]

    Default value: ``

    Handwritten fields on check

    digital_tampering_fields string[]

    Possible values: [amount, amount_text, bank_address, bank_name, fractional_routing_number, micr.raw, check_number, date, memo, payer_address, payer_name, receiver_address, receiver_name]

    Default value: ``

    Digital tampering fields on check

    front_back_aspect_similarity (number | null)

    Possible values: <= 1

    The similarity of the aspect ratio of the front and back of the check.

    pdf_url uri

    Possible values: non-empty and <= 2083 characters

    A signed URL to access the auto-generated PDF created from the submitted document. This URL expires 15 minutes after the response object is returned and is resigned during every GET request.

    id integerrequired

    The unique number created to identify the document.

    created_date date-timerequired
    updated_date date-timerequired
    img_thumbnail_url uri

    Possible values: non-empty and <= 2083 characters

    A signed URL to access the auto-generated thumbnail created for the submitted document. This URL expires 15 minutes after the response object is returned and is resigned during every GET request.

    text (string | null)

    The text returned from converting the document into a machine-readable text format.

    custom_fields CustomFields

    A user-defined dictionary that contains all the custom fields generated by applying specific rules and regular expressions to the extracted data.

    amount (number | null)required

    The numeric value representing the amount found on the document.

    amount_text (string | null)required

    Possible values: non-empty

    The value as a string representing the amount found on the document.

    bank_address (string | null)required

    Possible values: non-empty

    The address of the bank.

    bank_name (string | null)required

    Possible values: non-empty

    The name of the bank.

    fractional_routing_number (string | null)

    Possible values: non-empty

    The numbers appearing as the denominator of a fraction that is printed in the upper portion of a check.

    routing_from_fractional (string | null)required

    Possible values: non-empty

    The routing number from the found in the fractional_routing_number.

    check_number (string | null)required

    Possible values: non-empty

    The check number.

    date (string | null)required

    Possible values: non-empty

    The date in ISO 8601 format. Typically found on invoices.

    memo (string | null)required

    Possible values: non-empty

    The description found in the memo line of the check.

    payer_address (string | null)required

    Possible values: non-empty

    The address of the payer.

    payer_name (string | null)required

    Possible values: non-empty

    The name of the payer.

    receiver_address (string | null)required

    Possible values: non-empty

    The address of the receiver.

    receiver_name (string | null)required

    Possible values: non-empty

    The name of the receiver.

    is_signed (boolean | null)

    Presence of a signature on the check (front of check image)

    currency_code (string | null)required

    Possible values: [CRC, HUF, RUB, GBP, BZD, BWP, BBD, UAH, ANG, IQD, FJD, NOK, GYD, GEL, AWG, CHF, AED, ZWD, BRL, BGN, PHP, EGP, LKR, YER, BAM, TTD, LVL, NGN, LBP, MKD, KZT, JEP, NZD, HKD, LRD, INR, GGP, UYU, SAR, FKP, TRL, SVC, SOS, TVD, IDR, UGX, VND, SGD, AZN, HNL, CNY, GTQ, PEN, BYR, QAR, PAB, EEK, AFN, SEK, SHP, TRY, AUD, HTG, KRW, IRR, DKK, XCD, ISK, KGS, CAD, BHD, MXN, GIP, THB, KWD, NPR, HRK, SRD, ARS, IMP, ILS, KYD, COP, CUP, CLP, MZN, SYP, XAF, JMD, GNF, EUR, UZS, OMR, TWD, NAD, SCR, MVR, KPW, MYR, PYG, BOB, SBD, KHR, BND, USD, ZAR, MUR, JPY, AMD, BMD, VEF, LAK, MNT, DOP, CZK, GHC, RSD, SZL, MOP, PLN, PKR, ALL, BSD, LSL, NIO, LTL, RON]

    check_type (string | null)

    Possible values: [bank_draft, bill_pay_draft, business_check, cashiers_check, government_check, money_order, personal_check, starter_check, teller_check]

    The type of the check like personal_check, government_check, etc.

    endorsement object

    An object containing the endorsement details

    is_endorsed (boolean | null)

    Presence of an endorsement (back of check image). True if there is a signature, or a name that matches the payee name

    is_signed (boolean | null)

    Presence of an endorsement signature (back of check image).

    mobile_or_remote_deposit MobileOrRemoteDeposit

    Mobile or remote desposit endorsement.

    checkbox (boolean | null)

    Presence of checked box indicating that the deposit is for mobile or remote deposit only.

    instructions (boolean | null)

    Presence of instructions stating that the deposit is for mobile or remote deposit only.

    is_mobile_or_remote_deposit_only (boolean | null)

    deprecated and will be removed at 2025-07-10. Use endorsement.mobile_or_remote_deposit instead

    micr object

    An object containing the details for the Magnetic ink character recognition.

    routing_number (string | null)

    Possible values: non-empty

    The Transit Field. It is always preceded by a ⑆, and followed by a ⑆. US: 9 digits. Canada: 8 digits, branch ⑈ institution.

    account_number (string | null)required

    Possible values: non-empty

    The bank account number.

    serial_number (string | null)

    Possible values: non-empty

    The serial number on checks.

    raw (string | null)

    Possible values: non-empty

    The text returned from converting the document into a machine-readable text format.

    branch (string | null)

    Possible values: non-empty

    Branch number. Canadian MICR only.

    institution (string | null)

    Possible values: non-empty

    Institution number. Canadian MICR only.

    transaction_code (string | null)

    Possible values: non-empty

    Transaction code. Canadian MICR only.

    void_terms (string | null)

    Possible values: non-empty

    Terms found on the check indicating it is void.

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