How to Use Our Tools

ホームページのドラッグ＆ドロップゾーンを使用して、2つ以上のExcelファイルをアップロードします。XLS（Excel 97-2003）、XLSX（Excel 2007+）、CSVファイルに対応し、異なるフォーマットを1回の結合で混在させることもできます。ファイルはアップロードゾーンの下に名前、サイズ、検出されたシートと共にリスト表示されます。グリップハンドルをドラッグしてファイルの順序を変更したり、削除ボタンで個別のファイルを削除できます。

右側パネルで3つの結合モードから選択：「単一スプレッドシート」はすべてのデータを1つの連続シートに積み重ね、類似データの結合に最適。「複数シート」は各ファイルを1つのワークブック内の別タブとして配置、ソース別にデータを整理するのに理想的。「選択的結合」は各ワークブックから特定のシートを選択可能 — 複数シートを含むファイルから特定のものだけが必要な場合に最適。

詳細オプションで結合方法をカスタマイズ。「ヘッダー処理」で列ヘッダーの扱いを制御 — 最初の行のヘッダーのみ保持、データソースを識別するためのシート名ラベル追加、またはヘッダー処理なし。「データ範囲」でセル範囲を指定（例：A1からZ1000）して各ファイルの一部のみを結合。「書式保持」を有効にすると、元のセルスタイル、色、書式を結合出力に保持。

単一スプレッドシートモードで結合する場合、ツールは全ファイルの列ヘッダーを自動分析します。列が正確に一致しない場合 — 例えば一方のファイルに「顧客名」、もう一方に「クライアント名」がある場合 — 列の不一致ダイアログが表示されます。ドロップダウンメニューで手動マッピングするか、「そのまま続行」をクリックして再マッピングなしで結合できます。ファジーマッチングアルゴリズムが最適な一致を自動提案します。

複数シートを含むExcelファイルをアップロードすると、結合オプションの下にシート選択パネルが表示されます。各ファイルについて、個別のシートにチェックを入れたり外したりして、結合に含めるか除外するかを選択できます。「すべて」と「なし」ボタンで素早く選択。チェックを外したシートは結合プロセスで完全にスキップされます。

すべての設定が完了したら、「ファイルを結合」ボタンをクリックします。ツールはブラウザ内でローカルにすべてのファイルを処理 — サーバーにはアップロードされません。結合が完了すると、緑色の成功バナーが表示され、「ダウンロード」ボタンがアクティブになります。ダウンロードをクリックして結合されたXLSXファイルを保存。ソーシャル共有ボタンでツールを同僚と共有することもできます。

Start by uploading your PDF file using the drag-and-drop zone. The tool accepts standard PDF files up to 50 MB. Once uploaded, the file name, size, and PDF badge are displayed. If your PDF is password-protected, a password field will appear automatically — just enter the password to unlock it.

In the options panel on the right, configure how your PDF data should be extracted. Choose from three Extraction Modes: Auto (automatically detects tables and text), Table Mode (optimized for structured tabular data), or Lines Mode (extracts text line by line). Select your Output Format — XLSX for Excel or CSV for plain text. Set a Page Range (e.g., "1-3, 5") to convert only specific pages. Choose a Delimiter (Auto, Tab, Pipe, Comma, Semicolon, or Space) to control how columns are separated. Enable "Sheet per page" to place each PDF page into a separate Excel sheet tab.

Click the "Preview" button to see a preview of the extracted data before committing to the full conversion. The preview shows a paginated table view with row counts, column counts, and total pages detected. This lets you verify the extraction quality and adjust settings if needed before downloading.

Click the "Convert Now" button to process the full PDF conversion. A progress indicator shows the conversion status. Once complete, a green success banner appears with the conversion time. Click the "Download" button to save your converted XLSX or CSV file. The output file name is automatically generated from your original PDF name with a timestamp.

Upload a single Excel or CSV file using the drag-and-drop zone at the top of the page. The tool accepts XLS, XLSX, and CSV formats. Once uploaded, a step progress bar updates to show you are in the "Configure" phase. The file info panel shows the file name, detected sheets, total rows, and columns.

Use the Split Configuration panel on the right to choose how your file should be split. The tool offers 9 split modes: By Fixed Rows (split every N rows), By File Count (divide into N equal files), By Sheet (each sheet as a separate file), By Column Value (group rows by a column's value), By Blank Rows (split at empty rows), By File Size (limit each output file's size), By Formula Type (separate formula cells from value cells), By Expression (custom conditions), and By Date Range (time-based groups). Each mode has its own configuration options that appear when selected.

Use the Data Filters panel to narrow down which rows are included before splitting. You can filter by column values, exclude empty rows, or set conditions. The Template Manager lets you save your split configuration as a reusable template — perfect for recurring tasks like monthly report splitting. Simply save a template, and load it next time to apply the same settings instantly.

Switch between four tabs below the upload area: Preview (see your data in a table), Results (view split output after processing), Statistics (column stats, value distributions, data type breakdowns), and Formulas (detect and inspect Excel formulas). The Preview tab shows your raw data with pagination and column headers. The Statistics tab gives you a powerful analytical overview of your dataset.

Click the "Split Now" button to process your file. The step progress bar updates to show the "Split" phase, and then moves to "Results" when complete. Switch to the Results tab to see all generated files. You can download individual files or download all files at once as a ZIP archive. Each output file is named based on your split criteria (e.g., by column value or row range).

Upload a single Excel (XLS, XLSX) or CSV file using the drag-and-drop zone. The tool processes files entirely in your browser — nothing is uploaded to any server. Once a file is uploaded, the tool automatically detects all available sheets and displays them in the options panel. The file name and size are shown below the upload area.

In the options panel on the right, configure your JSON output. Select which Sheets to process by checking/unchecking individual sheets. Choose a Structure Format: Flat Array (array of row objects — best for APIs), Object Dictionary (object with sheet names as keys — for multi-sheet files), or Wrapped Root ({ data: ... } wrapper — for frameworks). Pick Indentation: 2 spaces (readable), 4 spaces (more spaced), or Minified (smallest file size). Set Empty Cells handling: Omit (skip empty cells), Null (set to null), or Empty String (set to "").

Toggle three advanced data parsing options: Nested Objects — when enabled, column headers with dots (like "address.city") are converted into nested JSON objects ({ address: { city: "..." } }). Auto-Parse Types — keeps numbers, booleans, and dates as their native types instead of converting everything to strings. Raw Date Format — when enabled, preserves Excel's internal date serial numbers instead of converting to JavaScript Date objects.

Click the "Convert Now" button to generate JSON from your spreadsheet. The output appears in a syntax-highlighted preview panel below, showing the first 5,000 characters. The file size of the generated JSON is displayed. Click "Download" to save the JSON file. The downloaded file name matches your original file name with a .json extension.

Upload an Excel (XLS, XLSX) or CSV file containing your data records. The tool reads the first sheet and displays all detected columns. A data table preview shows all your records with column headers. You can search and filter records using the search bar above the table. The record count is displayed showing matching vs. total records. Don't have a file? Click "Try Demo" to load sample customer data instantly and explore the tool.

Write your document template in the rich-text editor. Insert data placeholders by clicking column name buttons below the editor — each click inserts a {{ColumnName}} tag at the cursor position. The editor supports rich text formatting: Bold, Italic, Underline, Headings (H1, H2), Paragraph, Bullet Lists, Numbered Lists, Text Alignment (Left/Center/Right), Text Color, and Clear Formatting. You can also add a Subject Line Template for email drafts. Use {{#if Status}} conditional {{/if}} blocks for conditional content. Insert dynamic QR codes with {{qr ColumnName}} and dynamic images with {{img ImageURLColumn}}.

The Preview panel on the right shows a live, rendered preview of your template merged with actual data. Use the left/right navigation arrows to cycle through all records and see how each personalized document looks. The preview renders rich text, images, and QR codes in real-time. You can also preview the Subject Line merged with the current record. Copy the rendered body to clipboard with "Smart Copy" (preserves HTML formatting), copy the subject line separately, or click "Open in Email App" to launch your default email client with the preview pre-filled.

In the Download section, choose your output format: TXT (plain text), HTML (rich formatted), or PDF (printable documents). Set a Filename Pattern using {{Tags}} — for example, "invoice_{{Name}}.html" generates unique filenames for each record. The {{row}} tag inserts the row number. Click "Generate & Download ZIP" to create all documents at once. A real-time progress bar shows generation status. Once complete, the ZIP file downloads automatically containing all personalized documents. The ZIP file size is displayed after generation.

Upload one or more images using the drag-and-drop zone. Supported formats include PNG, JPG/JPEG, WebP, BMP, and TIFF. You can upload multiple images at once (up to 20 MB each). Uploaded images are displayed as thumbnails with file name and size. Remove individual images with the delete button, or clear all images to start over. The tool processes images entirely in your browser using Tesseract.js OCR.

In the options panel, configure your OCR settings. Select the OCR Language from 20+ supported languages including English, Hindi, German, French, Spanish, Japanese, Korean, Chinese (Simplified/Traditional), Arabic, and more. Choose an Extraction Mode: Table (detects and reconstructs table grid from word positions) or Lines (extracts text line by line). Select Output Format: XLSX or CSV. Enable "Sheet per Image" to place each image's data on a separate Excel sheet. Toggle Image Enhancement to preprocess images for better OCR accuracy — with three strength levels (Low, Medium, High). Enable Auto-Upscale to automatically enlarge small images for improved text recognition.

Click "Convert to Excel" to start the OCR process. A progress indicator shows the current status: loading language model, enhancing image, and recognizing text — with per-image progress. Once complete, extracted data is displayed in a table preview with per-cell confidence color coding: Green (≥80% confidence — high accuracy), Yellow (50-80% — may need review), and Red (<50% — likely needs correction). You can click any cell to edit its content inline — corrections are applied instantly. The overall confidence score and conversion time are displayed.

Click "Download" to save the converted file as XLSX or CSV. If you enabled "Sheet per Image" with multiple images, each image's data appears on its own named sheet tab. Column widths are automatically adjusted to fit the content. If you edited any cells after OCR, click "Regenerate File" to update the download with your corrections before saving.