How to Use Our Tools

홈 페이지의 드래그 앤 드롭 영역을 사용하여 두 개 이상의 엑셀 파일을 업로드하세요. XLS(Excel 97-2003), XLSX(Excel 2007+), CSV 파일을 업로드할 수 있으며, 다른 형식을 혼합할 수도 있습니다. 업로드된 파일은 이름, 크기, 감지된 시트와 함께 표시됩니다. 그립 핸들을 드래그하여 파일 순서를 변경하거나 삭제 버튼으로 개별 파일을 제거할 수 있습니다.

오른쪽 패널에서 세 가지 병합 모드 중 하나를 선택하세요: 단일 스프레드시트는 모든 데이터를 하나의 연속 시트에 쌓습니다. 다중 시트는 각 파일을 하나의 워크북에서 별도 탭으로 배치합니다. 선택적 병합은 각 워크북에서 특정 시트를 선택할 수 있습니다.

고급 옵션으로 병합 방식을 맞춤 설정하세요. 헤더 처리를 선택하여 열 헤더 처리 방법을 제어합니다. 사용자 정의 데이터 범위를 설정하여 각 파일의 특정 부분만 병합할 수 있습니다. 서식 유지를 활성화하여 원본 셀 스타일과 색상을 유지하세요.

단일 스프레드시트 모드로 병합할 때, 도구는 모든 파일의 열 헤더를 자동으로 분석합니다. 열이 정확히 일치하지 않는 경우 — 예를 들어 한 파일의 '고객명'과 다른 파일의 '클라이언트명' — 열 불일치 대화 상자가 나타납니다. 드롭다운 메뉴를 사용하여 열을 수동으로 매핑하거나, 그대로 계속을 클릭하여 재매핑 없이 병합할 수 있습니다.

다중 시트 엑셀 파일을 업로드하면, 병합 옵션 아래에 시트 선택 패널이 나타납니다. 각 파일에서 개별 시트를 체크하거나 해제하여 병합에 포함하거나 제외할 수 있습니다. 전체 및 없음 버튼을 사용하여 빠르게 선택할 수 있습니다.

모든 설정이 완료되면 파일 합치기 버튼을 클릭하세요. 도구는 브라우저에서 로컬로 모든 파일을 처리합니다 — 서버에 업로드되지 않습니다. 병합이 완료되면 녹색 성공 배너가 나타나고 다운로드 버튼이 활성화됩니다. 다운로드를 클릭하여 병합된 XLSX 파일을 저장하세요.

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.