Auto-detect cell type

In this tutorial, you will build a grid that picks a cell’s type from the value a user enters. Type 42 into a text cell and it becomes numeric. Type 2026-12-31 and it becomes a date. Clear the cell, or type text, and it goes back to text.

Source code

JavaScript

import { useCallback, useRef } from 'react';
import { HotTable, HotColumn } from '@handsontable/react-wrapper';
import { registerAllModules } from 'handsontable/registry';

// Register all Handsontable's modules.
registerAllModules();

/**
 * The recipe's configuration.
 * - `skipTypes`: types that detection never assigns.
 * - `beforeTypeChange`: return `false` to keep the cell's current type.
 */
const autoDetectConfig = {
  skipTypes: [],
  beforeTypeChange(_row, _col, from, to, value) {
    // A numeric cell stays numeric when someone types text into it, and the numeric validator
    // flags the entry. Clearing the cell still resets it to text.
    return !(from === 'numeric' && to === 'text' && value !== '' && value !== null);
  },
};

// Edits, pastes, cuts, undo, and redo trigger detection, so a cell's type follows its value.
// Autofill and `loadData()` do not.
const DETECT_SOURCES = ['edit', 'CopyPaste.paste', 'CopyPaste.cut', 'UndoRedo.undo', 'UndoRedo.redo'];

// Digits with at most one dot, an optional sign, and an optional exponent. No spaces.
const NUMERIC_PATTERN = /^[+-]?(\d+(\.\d+)?|\.\d+)(e[+-]?\d+)?$/i;
const DATE_PATTERN = /^(\d{4})-(\d{2})-(\d{2})$/;

// Accepts ISO 8601 dates (`YYYY-MM-DD`), the format the date cell type stores, and rejects
// dates that don't exist, such as 2026-02-31.
function isDate(value) {
  const match = DATE_PATTERN.exec(value);

  if (!match) {
    return false;
  }

  const [, year, month, day] = match.map(Number);
  // `setFullYear()` takes years 0 to 99 as they are. `new Date(year, ...)` would map them to 1900 to 1999.
  const date = new Date(2000, 0, 1);

  date.setFullYear(year, month - 1, day);

  return date.getFullYear() === year && date.getMonth() === month - 1 && date.getDate() === day;
}

function detectCellType(value, skipTypes) {
  if (typeof value === 'number' && Number.isFinite(value) && !skipTypes.includes('numeric')) {
    return 'numeric';
  }

  if (typeof value === 'string') {
    if (!skipTypes.includes('numeric') && NUMERIC_PATTERN.test(value)) {
      return 'numeric';
    }

    if (!skipTypes.includes('date') && isDate(value)) {
      return 'date';
    }
  }

  return 'text';
}

// Setting a type copies that type's renderer, editor, and other settings into the cell's meta. It
// does not remove the settings that only the previous type defined, so a date cell that turns into
// text would keep its date validator and formatter. These lists name what each type must not keep.
const LEFTOVER_KEYS = {
  text: ['validator', 'valueFormatter', 'valueSetter', 'dataType', 'sourceDataValidator', 'sourceDataWarningMessage'],
  numeric: ['sourceDataValidator', 'sourceDataWarningMessage'],
  date: ['valueSetter', 'dataType'],
};

const typeSettings = {
  text: { type: 'text' },
  numeric: { type: 'numeric' },
  date: { type: 'date' },
};

// The numeric renderer writes `htRight` and `htNumeric` into the cell's own `className` meta, and a
// failed numeric validation marks the cell invalid. Neither goes away when the cell stops being
// numeric, for example after an undo, so remove them here. Removing the cell's own `className`
// brings back the class names of the column and the table. Returns `true` when it changed something.
function clearNumericResidue(hot, row, col) {
  const cellMeta = hot.getCellMetaTransient(row, col);
  const classNames = Array.isArray(cellMeta.className) ? cellMeta.className : (cellMeta.className ?? '').split(/\s+/);

  if (cellMeta.type === 'numeric' || !classNames.includes('htNumeric')) {
    return false;
  }

  hot.removeCellMeta(row, col, 'className');

  // The invalid mark is cleared only for a cell that just left the numeric type. A validator that
  // you set on the column or the table keeps its mark.
  if (cellMeta.type === 'text' && cellMeta.valid === false) {
    hot.setCellMeta(row, col, 'valid', true);
  }

  return true;
}

// Switches a cell to one of the detected types.
function applyType(hot, row, col, type) {
  Object.entries(typeSettings[type]).forEach(([key, setting]) => hot.setCellMeta(row, col, key, setting));
  LEFTOVER_KEYS[type].forEach((key) => hot.removeCellMeta(row, col, key));
}

// Detects the type of one cell. Returns `true` when the cell changed.
// After an undo or redo, `restoring` is `true`: UndoRedo puts back the cell's `type` but not the
// renderer, editor, and validator that came with it, so the type's settings are applied again.
function detectCell(hot, row, col, restoring = false) {
  // Read with `getCellMetaTransient()`. It stores no meta for the cells that do not change.
  const cellMeta = hot.getCellMetaTransient(row, col);
  const from = cellMeta.type ?? 'text';

  // `autoDetect: false` opts a cell, a column, or the whole table out. Cells of any other type,
  // such as `dropdown` or `checkbox`, are left alone.
  if (cellMeta.autoDetect === false || !(from in typeSettings)) {
    return false;
  }

  const value = hot.getDataAtCell(row, col);
  const to = detectCellType(value, autoDetectConfig.skipTypes);
  const typeChanges = from !== to && autoDetectConfig.beforeTypeChange(row, col, from, to, value);
  let changed = false;

  if (typeChanges || restoring) {
    applyType(hot, row, col, typeChanges ? to : from);
    changed = true;
  }

  if (typeChanges) {
    // Drop the invalid mark that the previous type's validator left behind.
    hot.setCellMeta(row, col, 'valid', true);
  }

  return clearNumericResidue(hot, row, col) || changed;
}

function detectChanged(hot, changes, source) {
  if (!changes || !DETECT_SOURCES.includes(source)) {
    return;
  }

  let changed = false;

  changes.forEach(([row, prop]) => {
    // A column can be addressed by a function in `data`. Detection skips those.
    if (typeof prop === 'function') {
      return;
    }

    const col = hot.propToCol(prop);

    if (typeof col === 'number') {
      changed = detectCell(hot, row, col, source.startsWith('UndoRedo')) || changed;
    }
  });

  if (changed) {
    hot.render();
  }
}

function detectAll(hot) {
  // `batch()` does not render on its own, so render inside the callback.
  hot.batch(() => {
    for (let row = 0; row < hot.countRows(); row++) {
      for (let col = 0; col < hot.countCols(); col++) {
        detectCell(hot, row, col);
      }
    }

    hot.render();
  });
}

function resetTypes(hot) {
  hot.batch(() => {
    for (let row = 0; row < hot.countRows(); row++) {
      for (let col = 0; col < hot.countCols(); col++) {
        const cellMeta = hot.getCellMetaTransient(row, col);
        const type = cellMeta.type ?? 'text';

        // Cells that opted out of detection keep their type.
        if (cellMeta.autoDetect !== false) {
          if (type !== 'text' && type in typeSettings) {
            applyType(hot, row, col, 'text');
          }

          clearNumericResidue(hot, row, col);
        }
      }
    }

    hot.render();
  });
}

/* start:skip-in-preview */
const data = [
  {
    part: 'Lunar Core',
    partNo: '0042',
    quantity: '12',
    unitCost: '350.50',
    restock: '2026-08-15',
    notes: 'Ships in crates',
  },
  {
    part: 'Zero Thrusters',
    partNo: '0107',
    quantity: '8',
    unitCost: '-45.25',
    restock: '2026-11-02',
    notes: '67',
  },
  {
    part: 'Orbital Relay',
    partNo: '0215',
    quantity: '3.5e2',
    unitCost: '.75',
    restock: '2026-02-31',
    notes: 'Check the restock date',
  },
  {
    part: 'Dome Shelter',
    partNo: '0388',
    quantity: 'n/a',
    unitCost: '1000000',
    restock: '2027-01-25',
    notes: ' 67',
  },
];
/* end:skip-in-preview */

const ExampleComponent = () => {
  const hotRef = useRef(null);

  const handleAfterChange = useCallback((changes, source) => {
    const hot = hotRef.current?.hotInstance;

    if (hot) {
      detectChanged(hot, changes, source);
    }
  }, []);

  return (
    <div>
      <div className="example-controls-container">
        <div className="controls">
          <button type="button" onClick={() => detectAll(hotRef.current.hotInstance)}>
            Detect types
          </button>
          <button type="button" onClick={() => resetTypes(hotRef.current.hotInstance)}>
            Reset to text
          </button>
        </div>
      </div>
      <HotTable
        ref={hotRef}
        data={data}
        colHeaders={['Part', 'Part no.', 'Quantity', 'Unit cost', 'Restock date', 'Notes']}
        rowHeaders={true}
        height="auto"
        width="100%"
        autoWrapRow={true}
        headerClassName="htLeft"
        afterChange={handleAfterChange}
        licenseKey="non-commercial-and-evaluation"
      >
        <HotColumn data="part" width={140} />
        {/* Part numbers keep their leading zeros, so this column opts out of detection. */}
        <HotColumn data="partNo" width={100} autoDetect={false} />
        <HotColumn data="quantity" width={100} />
        <HotColumn data="unitCost" width={110} />
        <HotColumn data="restock" width={130} />
        <HotColumn data="notes" width={200} />
      </HotTable>
    </div>
  );
};

export default ExampleComponent;

TypeScript

import { useCallback, useRef } from 'react';
import { HotTable, HotColumn, HotTableRef } from '@handsontable/react-wrapper';
import { registerAllModules } from 'handsontable/registry';
import type Handsontable from 'handsontable/base';
import type { CellProperties } from 'handsontable/settings';

// Register all Handsontable's modules.
registerAllModules();

type DetectedType = 'text' | 'numeric' | 'date';

/**
 * The recipe's configuration.
 * - `skipTypes`: types that detection never assigns.
 * - `beforeTypeChange`: return `false` to keep the cell's current type.
 */
const autoDetectConfig = {
  skipTypes: [] as DetectedType[],
  beforeTypeChange(_row: number, _col: number, from: string, to: DetectedType, value: unknown): boolean {
    // A numeric cell stays numeric when someone types text into it, and the numeric validator
    // flags the entry. Clearing the cell still resets it to text.
    return !(from === 'numeric' && to === 'text' && value !== '' && value !== null);
  },
};

// Edits, pastes, cuts, undo, and redo trigger detection, so a cell's type follows its value.
// Autofill and `loadData()` do not.
const DETECT_SOURCES = ['edit', 'CopyPaste.paste', 'CopyPaste.cut', 'UndoRedo.undo', 'UndoRedo.redo'];

// Digits with at most one dot, an optional sign, and an optional exponent. No spaces.
const NUMERIC_PATTERN = /^[+-]?(\d+(\.\d+)?|\.\d+)(e[+-]?\d+)?$/i;
const DATE_PATTERN = /^(\d{4})-(\d{2})-(\d{2})$/;

// Accepts ISO 8601 dates (`YYYY-MM-DD`), the format the date cell type stores, and rejects
// dates that don't exist, such as 2026-02-31.
function isDate(value: string): boolean {
  const match = DATE_PATTERN.exec(value);

  if (!match) {
    return false;
  }

  const [, year, month, day] = match.map(Number);
  // `setFullYear()` takes years 0 to 99 as they are. `new Date(year, ...)` would map them to 1900 to 1999.
  const date = new Date(2000, 0, 1);

  date.setFullYear(year, month - 1, day);

  return date.getFullYear() === year && date.getMonth() === month - 1 && date.getDate() === day;
}

function detectCellType(value: unknown, skipTypes: DetectedType[]): DetectedType {
  if (typeof value === 'number' && Number.isFinite(value) && !skipTypes.includes('numeric')) {
    return 'numeric';
  }

  if (typeof value === 'string') {
    if (!skipTypes.includes('numeric') && NUMERIC_PATTERN.test(value)) {
      return 'numeric';
    }

    if (!skipTypes.includes('date') && isDate(value)) {
      return 'date';
    }
  }

  return 'text';
}

// Setting a type copies that type's renderer, editor, and other settings into the cell's meta. It
// does not remove the settings that only the previous type defined, so a date cell that turns into
// text would keep its date validator and formatter. These lists name what each type must not keep.
const LEFTOVER_KEYS: Record<DetectedType, string[]> = {
  text: ['validator', 'valueFormatter', 'valueSetter', 'dataType', 'sourceDataValidator', 'sourceDataWarningMessage'],
  numeric: ['sourceDataValidator', 'sourceDataWarningMessage'],
  date: ['valueSetter', 'dataType'],
};

const typeSettings: Record<DetectedType, Partial<CellProperties>> = {
  text: { type: 'text' },
  numeric: { type: 'numeric' },
  date: { type: 'date' },
};

// The numeric renderer writes `htRight` and `htNumeric` into the cell's own `className` meta, and a
// failed numeric validation marks the cell invalid. Neither goes away when the cell stops being
// numeric, for example after an undo, so remove them here. Removing the cell's own `className`
// brings back the class names of the column and the table. Returns `true` when it changed something.
function clearNumericResidue(hot: Handsontable, row: number, col: number): boolean {
  const cellMeta = hot.getCellMetaTransient(row, col);
  const classNames = Array.isArray(cellMeta.className) ? cellMeta.className : (cellMeta.className ?? '').split(/\s+/);

  if (cellMeta.type === 'numeric' || !classNames.includes('htNumeric')) {
    return false;
  }

  hot.removeCellMeta(row, col, 'className');

  // The invalid mark is cleared only for a cell that just left the numeric type. A validator that
  // you set on the column or the table keeps its mark.
  if (cellMeta.type === 'text' && cellMeta.valid === false) {
    hot.setCellMeta(row, col, 'valid', true);
  }

  return true;
}

// Switches a cell to one of the detected types.
function applyType(hot: Handsontable, row: number, col: number, type: DetectedType): void {
  Object.entries(typeSettings[type]).forEach(([key, setting]) => hot.setCellMeta(row, col, key, setting));
  LEFTOVER_KEYS[type].forEach((key) => hot.removeCellMeta(row, col, key));
}

// Detects the type of one cell. Returns `true` when the cell changed.
// After an undo or redo, `restoring` is `true`: UndoRedo puts back the cell's `type` but not the
// renderer, editor, and validator that came with it, so the type's settings are applied again.
function detectCell(hot: Handsontable, row: number, col: number, restoring = false): boolean {
  // Read with `getCellMetaTransient()`. It stores no meta for the cells that do not change.
  const cellMeta = hot.getCellMetaTransient(row, col);
  const from = cellMeta.type ?? 'text';

  // `autoDetect: false` opts a cell, a column, or the whole table out. Cells of any other type,
  // such as `dropdown` or `checkbox`, are left alone.
  if (cellMeta.autoDetect === false || !(from in typeSettings)) {
    return false;
  }

  const value = hot.getDataAtCell(row, col);
  const to = detectCellType(value, autoDetectConfig.skipTypes);
  const typeChanges = from !== to && autoDetectConfig.beforeTypeChange(row, col, from, to, value);
  let changed = false;

  if (typeChanges || restoring) {
    applyType(hot, row, col, (typeChanges ? to : from) as DetectedType);
    changed = true;
  }

  if (typeChanges) {
    // Drop the invalid mark that the previous type's validator left behind.
    hot.setCellMeta(row, col, 'valid', true);
  }

  return clearNumericResidue(hot, row, col) || changed;
}

function detectChanged(
  hot: Handsontable,
  changes: Handsontable.CellChange[] | null,
  source: string
): void {
  if (!changes || !DETECT_SOURCES.includes(source)) {
    return;
  }

  let changed = false;

  changes.forEach(([row, prop]) => {
    // A column can be addressed by a function in `data`. Detection skips those.
    if (typeof prop === 'function') {
      return;
    }

    const col = hot.propToCol(prop);

    if (typeof col === 'number') {
      changed = detectCell(hot, row, col, source.startsWith('UndoRedo')) || changed;
    }
  });

  if (changed) {
    hot.render();
  }
}

function detectAll(hot: Handsontable): void {
  // `batch()` does not render on its own, so render inside the callback.
  hot.batch(() => {
    for (let row = 0; row < hot.countRows(); row++) {
      for (let col = 0; col < hot.countCols(); col++) {
        detectCell(hot, row, col);
      }
    }

    hot.render();
  });
}

function resetTypes(hot: Handsontable): void {
  hot.batch(() => {
    for (let row = 0; row < hot.countRows(); row++) {
      for (let col = 0; col < hot.countCols(); col++) {
        const cellMeta = hot.getCellMetaTransient(row, col);
        const type = cellMeta.type ?? 'text';

        // Cells that opted out of detection keep their type.
        if (cellMeta.autoDetect !== false) {
          if (type !== 'text' && type in typeSettings) {
            applyType(hot, row, col, 'text');
          }

          clearNumericResidue(hot, row, col);
        }
      }
    }

    hot.render();
  });
}

/* start:skip-in-preview */
const data = [
  {
    part: 'Lunar Core',
    partNo: '0042',
    quantity: '12',
    unitCost: '350.50',
    restock: '2026-08-15',
    notes: 'Ships in crates',
  },
  {
    part: 'Zero Thrusters',
    partNo: '0107',
    quantity: '8',
    unitCost: '-45.25',
    restock: '2026-11-02',
    notes: '67',
  },
  {
    part: 'Orbital Relay',
    partNo: '0215',
    quantity: '3.5e2',
    unitCost: '.75',
    restock: '2026-02-31',
    notes: 'Check the restock date',
  },
  {
    part: 'Dome Shelter',
    partNo: '0388',
    quantity: 'n/a',
    unitCost: '1000000',
    restock: '2027-01-25',
    notes: ' 67',
  },
];
/* end:skip-in-preview */

const ExampleComponent = () => {
  const hotRef = useRef<HotTableRef>(null);

  const handleAfterChange = useCallback((changes: Handsontable.CellChange[] | null, source: string) => {
    const hot = hotRef.current?.hotInstance;

    if (hot) {
      detectChanged(hot, changes, source);
    }
  }, []);

  return (
    <div>
      <div className="example-controls-container">
        <div className="controls">
          <button type="button" onClick={() => detectAll(hotRef.current!.hotInstance!)}>Detect types</button>
          <button type="button" onClick={() => resetTypes(hotRef.current!.hotInstance!)}>Reset to text</button>
        </div>
      </div>
      <HotTable
        ref={hotRef}
        data={data}
        colHeaders={['Part', 'Part no.', 'Quantity', 'Unit cost', 'Restock date', 'Notes']}
        rowHeaders={true}
        height="auto"
        width="100%"
        autoWrapRow={true}
        headerClassName="htLeft"
        afterChange={handleAfterChange}
        licenseKey="non-commercial-and-evaluation"
      >
        <HotColumn data="part" width={140} />
        {/* Part numbers keep their leading zeros, so this column opts out of detection. */}
        <HotColumn data="partNo" width={100} autoDetect={false} />
        <HotColumn data="quantity" width={100} />
        <HotColumn data="unitCost" width={110} />
        <HotColumn data="restock" width={130} />
        <HotColumn data="notes" width={200} />
      </HotTable>
    </div>
  );
};

export default ExampleComponent;

Overview

Difficulty: Intermediate Time: ~20 minutes

Handsontable DataGrid assigns a cell type per column, cell, or grid. That works when you know the data ahead of time. It does not work for a blank sheet, a pasted import, or any grid where the user decides what a column holds.

The recipe uses only public API. An afterChange hook reads the new value, a small function classifies it, and setCellMeta() switches the cell’s type. Nothing detects types unless you add the hook, so the behavior is opt-in.

What you’ll build

A parts grid where every column starts as text, with two buttons:

• Detect types classifies every cell once. Use it for data that loads without types.
• Reset to text puts every cell back to text.

After that, each edit, paste, undo, and redo re-detects the type of the cells it touched. The Part no. column opts out, so 0042 keeps its leading zeros.

Before you begin

Read the cell type guide, and the date cell type and numeric cell type guides for the formats those types accept.

Step 1 — Classify a value

detectCellType() returns text, numeric, or date. It checks the numeric pattern first, then the date pattern, and falls back to text.

type DetectedType = 'text' | 'numeric' | 'date';

// Digits with at most one dot, an optional sign, and an optional exponent. No spaces.
const NUMERIC_PATTERN = /^[+-]?(\d+(\.\d+)?|\.\d+)(e[+-]?\d+)?$/i;
const DATE_PATTERN = /^(\d{4})-(\d{2})-(\d{2})$/;

function detectCellType(value: unknown, skipTypes: DetectedType[]): DetectedType {
  if (typeof value === 'number' && Number.isFinite(value) && !skipTypes.includes('numeric')) {
    return 'numeric';
  }

  if (typeof value === 'string') {
    if (!skipTypes.includes('numeric') && NUMERIC_PATTERN.test(value)) {
      return 'numeric';
    }

    if (!skipTypes.includes('date') && isDate(value)) {
      return 'date';
    }
  }

  return 'text';
}

The patterns follow these rules:

Type	Matches	Stays text
numeric	0, 42, -45.25, .75, 3.5e2	1,000, 1.2.3, n/a, 50%, ' 67', '67 '
date	2026-12-31 (ISO 8601, YYYY-MM-DD)	31/12/2026, 2026-02-31
text	Everything else, including an empty cell

A value with a leading or trailing space stays text, even though the numeric validator accepts it. The date cell type stores ISO 8601 strings and formats them for display with Intl.DateTimeFormat, so the detector accepts the same shape. isDate() also rejects dates that do not exist, such as 2026-02-31.

To change what counts as a number or a date, edit the two patterns. To stop a type from ever being assigned, put it in skipTypes.

Step 2 — Switch a cell’s type

Setting type through setCellMeta() copies the type’s renderer, editor, and other type-specific settings into that cell’s meta. A new type does not remove the settings that only the previous type defined. A date cell that turns into text would keep its date validator and its date formatter, and show #bad-value# for any text. After the recipe sets a type, it removes the leftovers with removeCellMeta(). Because removeCellMeta() drops only the settings that the cell owns, this works when the recipe set the type. It does not work when a column or the grid sets the type, because the column’s validator and formatter still reach the cell through the cascade. Use the recipe on untyped columns, and set autoDetect: false on a column that has its own type, validator, or valueFormatter.

const LEFTOVER_KEYS: Record<DetectedType, string[]> = {
  text: ['validator', 'valueFormatter', 'valueSetter', 'dataType', 'sourceDataValidator', 'sourceDataWarningMessage'],
  numeric: ['sourceDataValidator', 'sourceDataWarningMessage'],
  date: ['valueSetter', 'dataType'],
};

const typeSettings: Record<DetectedType, Partial<CellProperties>> = {
  text: { type: 'text' },
  numeric: { type: 'numeric' },
  date: { type: 'date' },
};

detectCell() then does four things for one cell:

1. Skips the cell when autoDetect is false, or when the cell has a type other than text, numeric, or date.
2. Classifies the value.
3. Asks beforeTypeChange() for permission when the type would change.
4. Applies the new type’s settings.

The numeric renderer also writes htRight and htNumeric into the cell’s own className meta, and a failed numeric validation marks the cell invalid. Neither goes away when the cell stops being numeric, so clearNumericResidue() removes the cell’s own className, which brings back the class names of the column and the grid, and clears the invalid mark of a cell that just left the numeric type. A class name that you set on the cell itself, such as htRight, is removed with it. Set class names on the column, or from a cells function.

Step 3 — Run it from the afterChange hook

The hook runs after each change. It handles five sources and ignores the rest:

// Edits, pastes, cuts, undo, and redo trigger detection, so a cell's type follows its value.
// Autofill and `loadData()` do not.
const DETECT_SOURCES = ['edit', 'CopyPaste.paste', 'CopyPaste.cut', 'UndoRedo.undo', 'UndoRedo.redo'];

detectChanged() loops over the changed cells, calls detectCell() for each, and renders once at the end.

const handleAfterChange = useCallback((changes, source) => {
  const hot = hotRef.current?.hotInstance;

  if (hot) {
    detectChanged(hot, changes, source);
  }
}, []);

<HotTable ref={hotRef} afterChange={handleAfterChange} />;

Undo and redo need a note. UndoRedo puts back a cell’s type, but not the renderer, editor, and validator that came with it. When source starts with UndoRedo, detectCell() applies the restored type’s settings again, so the cell renders and validates as the type says. This covers the cells an edit, paste, or cut changed. Detect types and Reset to text change only cell meta, so no afterChange fires when you undo them. The cells get their old type back but keep the renderer, validator, and class names of the type they had. A re-sync from afterUndo is no fix, because the meta writes it makes clear the redo stack.

Step 4 — Detect on demand

detectAll() runs detectCell() over every cell inside batch(). The Detect types button calls it. Call it yourself after you load untyped data. batch() does not render on its own, and setCellMeta() never renders, so the callback ends with one render(). detectCell() reads cell meta with getCellMetaTransient(), so a cell that does not change stores no meta.

function detectAll(hot: Handsontable): void {
  // `batch()` does not render on its own, so render inside the callback.
  hot.batch(() => {
    for (let row = 0; row < hot.countRows(); row++) {
      for (let col = 0; col < hot.countCols(); col++) {
        detectCell(hot, row, col);
      }
    }

    hot.render();
  });
}

Step 5 — Block or limit detection

Three controls decide what detection may change:

• autoDetect: false opts a cell, a column, or the whole grid out. It is a custom cell meta option, so it follows the cascade from the cell to the column to the grid. The Part no. column uses it.
• skipTypes lists types that detection never assigns. With skipTypes: ['date'], 2026-12-31 stays text.
• beforeTypeChange(row, col, from, to, value) returns false to keep the cell’s current type. The demo keeps a numeric cell numeric when someone types text into it, so the numeric validator marks the entry invalid. Clearing the cell still resets it to text.

const autoDetectConfig = {
  skipTypes: [] as DetectedType[],
  beforeTypeChange(_row: number, _col: number, from: string, to: DetectedType, value: unknown): boolean {
    return !(from === 'numeric' && to === 'text' && value !== '' && value !== null);
  },
};

How it works — complete flow

1. A user edits a cell. The previous type’s validator checks the value first, as it always does.
2. afterChange fires with the source edit. Autofill and loadData() fire it with other sources, which the recipe ignores.
3. detectCell() classifies the new value and asks beforeTypeChange() when the type would change.
4. setCellMeta() applies the new type, and one render() repaints the changed cells.
5. An undo or redo puts the old type back and fires afterChange with an UndoRedo source, which applies the restored type’s settings again.

Things to know

• Switching the type replaces the cell’s renderer, editor, and validator. A column with its own custom renderer, editor, or validator loses it on every cell that changes type, and on a cell an undo or redo touches. Set autoDetect: false on such columns.
• Other types stay as they are. A cell with the dropdown, checkbox, or any other type is never retyped.
• A cells function wins. If a cells function returns type, validator, or renderer, it overrides the meta that the recipe sets on every read. Return those only for cells that detection should not handle, and set autoDetect: false for them.
• A date cell edits through the date picker. You cannot type text into it. Press Delete to clear the cell, and it returns to text.
• Autofill does not retype. A value that autofill copies into a cell keeps the cell’s current type.
• Detection does not convert stored values. A cell that holds the string '42' becomes numeric and keeps the string. A later edit stores a number.
• Percent signs stay text. 50% does not match the numeric pattern.
• Detection runs after validation. The cell’s current validator checks a new value first, so a type switch happens after the edit is already in the grid.
• Password cells. Set autoDetect: false on a password column. Otherwise the hook replaces the type of a cell that holds a numeric-looking password.
• Detect types and Reset to text skip hidden rows. The loops walk visual rows, so rows that Filters or TrimRows hide keep their type. Run Detect types again after you clear the filter.
• Undo does not fully revert Detect types. See the note after the hook snippets. Reload the data, or run Reset to text, to start over.
• Sorting follows the first row. ColumnSorting picks its comparator from the cell meta of row 0, so a column with mixed detected types sorts by the type of that cell. A Quantity column with 12 on top sorts as numbers. With a text cell on top, it sorts 12, 3.5e2, and 8 as strings.
• Class names. The recipe removes the cell’s own className when a cell stops being numeric. Set class names on the column, or from a cells function.

What you learned

• How to read changed values in afterChange and switch a cell’s type with setCellMeta().
• Why a type switch leaves a renderer’s class names and an old validator behind, and how to clean them up.
• Why undo and redo need the type’s settings applied again.
• How to block detection per cell, column, and type, and with a callback.

Next steps

• Read the cell type guide to see what a type sets.
• Read the undo and redo guide for how UndoRedo records changes.
• Build your own type with the custom cells guide, and let detection assign it.