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chore: delete unused i18n json files
This commit is contained in:
Ibrahima G. Coulibaly
@@ -1,114 +0,0 @@
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{
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"insertCsvColumns": {
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"title": "Insert CSV columns",
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"description": "Add new columns to CSV data at specified positions.",
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"inputTitle": "Input CSV",
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"resultTitle": "Output CSV",
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"csvToInsert": "CSV to insert",
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"csvSeparator": "CSV separator",
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"csvToInsertDescription": "Enter one or more columns you want to insert into the CSV. the character used to delimit columns has to be the same with the one in the CSV input file. Ps: Blank lines will be ignored",
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"csvOptions": "CSV Options",
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"separatorDescription": "Enter the character used to delimit columns in the CSV input file.",
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"quoteCharDescription": "Enter the quote character used to quote the CSV input fields.",
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"commentCharacterDescription": "Enter the character indicating the start of a comment line. Lines starting with this symbol will be skipped.",
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"fillWithEmptyValues": "Fill With Empty Values",
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"fillWithCustomValues": "Fill With Customs Values",
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"customFillDescription": "If the input CSV file is incomplete (missing values), then add empty fields or custom symbols to records to make a well-formed CSV?",
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"customFillValueDescription": "Use this custom value to fill in missing fields. (Works only with \"Custom Values\" mode above.)",
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"positionOptions": "Position Options",
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"prependColumns": "Prepend columns",
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"appendColumns": "Append columns",
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"customPosition": "Custom position",
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"insertingPositionDescription": "Specify where to insert the columns in the CSV file.",
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"headerName": "Header name",
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"position": "Position",
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"customPositionOptionsDescription": "Select the method to insert the columns in the CSV file.",
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"headerNameDescription": "Header of the column you want to insert columns after.",
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"rowNumberDescription": "Number of the column you want to insert columns after.",
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"toolInfo": {
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"title": "Insert CSV Columns",
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"description": "This tool allows you to insert new columns into CSV data at specified positions. You can prepend, append, or insert columns at custom positions based on header names or column numbers."
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},
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"shortDescription": "Quickly insert one or more new columns anywhere in a CSV file."
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},
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"csvToJson": {
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"inputTitle": "Input CSV",
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"resultTitle": "Output JSON",
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"inputCsvFormat": "Input CSV Format",
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"columnSeparator": "Column Separator (e.g., , ; \\t)",
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"fieldQuote": "Field Quote (e.g., \")",
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"commentSymbol": "Comment Symbol (e.g., #)",
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"conversionOptions": "Conversion Options",
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"useHeaders": "Use Headers",
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"useHeadersDescription": "Treat the first row as column headers",
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"skipEmptyLines": "Skip Empty Lines",
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"skipEmptyLinesDescription": "Ignore empty lines in the input CSV",
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"dynamicTypes": "Dynamic Types",
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"dynamicTypesDescription": "Automatically convert numbers and booleans",
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"errorParsing": "Error parsing CSV: {{error}}",
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"title": "Convert CSV to JSON",
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"description": "Convert CSV files to JSON format with customizable options for delimiters, quotes, and output formatting. Support for headers, comments, and dynamic type conversion.",
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"shortDescription": "Convert CSV data to JSON format."
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},
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"findIncompleteCsvRecords": {
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"title": "Find incomplete CSV records",
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"inputTitle": "Input CSV",
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"resultTitle": "CSV Status",
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"toolInfo": {
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"title": "What is a {{title}}?"
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},
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"csvInputOptions": "CSV Input Options",
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"csvSeparatorDescription": "Enter the character used to delimit columns in the CSV input file.",
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"quoteCharacterDescription": "Enter the quote character used to quote the CSV input fields.",
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"commentCharacterDescription": "Enter the character indicating the start of a comment line. Lines starting with this symbol will be skipped.",
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"checkingOptions": "Checking Options",
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"deleteLinesWithNoData": "Delete Lines with No Data",
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"deleteLinesWithNoDataDescription": "Remove empty lines from CSV input file.",
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"findEmptyValues": "Find Empty Values",
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"findEmptyValuesDescription": "Display a message about CSV fields that are empty (These are not missing fields but fields that contain nothing).",
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"limitNumberOfMessages": "Limit number of messages",
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"messageLimitDescription": "Set the limit of number of messages in the output.",
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"description": "Just upload your CSV file in the form below and this tool will automatically check if none of the rows or columns are missing values. In the tool options, you can adjust the input file format (specify the delimiter, quote character, and comment character). Additionally, you can enable checking for empty values, skip empty lines, and set a limit on the number of error messages in the output.",
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"shortDescription": "Quickly find rows and columns in CSV that are missing values."
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},
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"changeCsvSeparator": {
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"title": "Change CSV Separator",
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"description": "Change the delimiter/separator in CSV files. Convert between different CSV formats like comma, semicolon, tab, or custom separators.",
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"shortDescription": "Change CSV file delimiter"
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},
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"csvRowsToColumns": {
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"title": "Convert CSV Rows to Columns",
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"description": "This tool converts rows of a CSV (Comma Separated Values) file into columns. It extracts the horizontal lines from the input CSV one by one, rotates them 90 degrees, and outputs them as vertical columns one after another, separated by commas.', longDescription: 'This tool converts rows of a CSV (Comma Separated Values) file into columns. For example, if the input CSV data has 6 rows, then the output will have 6 columns and the elements of the rows will be arranged from the top to bottom. In a well-formed CSV, the number of values in each row is the same. However, in cases when rows are missing fields, the program can fix them and you can choose from the available options: fill missing data with empty elements or replace missing data with custom elements, such as \"missing\", \"?\", or \"x\". During the conversion process, the tool also cleans the CSV file from unnecessary information, such as empty lines (these are lines without visible information) and comments. To help the tool correctly identify comments, in the options, you can specify the symbol at the beginning of a line that starts a comment. This symbol is typically a hash \"#\" or double slash \"//\". Csv-abulous!.",
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"shortDescription": "Convert CSV rows to columns.",
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"longDescription": "This tool converts rows of a CSV (Comma Separated Values) file into columns. For example, if the input CSV data has 6 rows, then the output will have 6 columns and the elements of the rows will be arranged from the top to bottom. In a well-formed CSV, the number of values in each row is the same. However, in cases when rows are missing fields, the program can fix them and you can choose from the available options: fill missing data with empty elements or replace missing data with custom elements, such as"
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},
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"csvToTsv": {
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"title": "Convert CSV to TSV",
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"description": "Upload your CSV file in the form below and it will automatically get converted to a TSV file. In the tool options, you can customize the input CSV format – specify the field delimiter, quotation character, and comment symbol, as well as skip empty CSV lines, and choose whether to preserve CSV column headers.",
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"shortDescription": "Convert CSV data to TSV format.",
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"longDescription": "This tool transforms Comma Separated Values (CSV) data to Tab Separated Values (TSV) data. Both CSV and TSV are popular file formats for storing tabular data but they use different delimiters to separate values – CSV uses commas ("
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},
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"csvToXml": {
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"title": "Convert CSV to XML",
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"description": "Convert CSV files to XML format with customizable options.",
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"shortDescription": "Convert CSV data to XML format."
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},
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"csvToYaml": {
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"title": "Convert CSV to YAML",
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"description": "Just upload your CSV file in the form below and it will automatically get converted to a YAML file. In the tool options, you can specify the field delimiter character, field quote character, and comment character to adapt the tool to custom CSV formats. Additionally, you can select the output YAML format: one that preserves CSV headers or one that excludes CSV headers.",
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"shortDescription": "Quickly convert a CSV file to a YAML file.",
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"longDescription": "This tool transforms CSV (Comma Separated Values) data into the YAML (Yet Another Markup Language) data. CSV is a simple, tabular format that is used to represent matrix-like data types consisting of rows and columns. YAML, on the other hand, is a more advanced format (actually a superset of JSON), which creates more human-readable data for serialization, and it supports lists, dictionaries, and nested objects. This program supports various input CSV formats – the input data can be comma-separated (default), semicolon-separated, pipe-separated, or use another completely different delimiter. You can specify the exact delimiter your data uses in the options. Similarly, in the options, you can specify the quote character that is used to wrap CSV fields (by default a double-quote symbol). You can also skip lines that start with comments by specifying the comment symbols in the options. This allows you to keep your data clean by skipping unnecessary lines. There are two ways to convert CSV to YAML. The first method converts each CSV row into a YAML list. The second method extracts headers from the first CSV row and creates YAML objects with keys based on these headers. You can also customize the output YAML format by specifying the number of spaces for indenting YAML structures. If you need to perform the reverse conversion, that is, transform YAML into CSV, you can use our Convert YAML to CSV tool. Csv-abulous!"
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},
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"swapCsvColumns": {
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"title": "Swap CSV Columns",
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"description": "Just upload your CSV file in the form below, specify the columns to swap, and the tool will automatically change the positions of the specified columns in the output file. In the tool options, you can specify the column positions or names that you want to swap, as well as fix incomplete data and optionally remove empty records and records that have been commented out.",
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"shortDescription": "Reorder CSV columns.",
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"longDescription": "This tool reorganizes CSV data by swapping the positions of its columns. Swapping columns can enhance the readability of a CSV file by placing frequently used data together or in the front for easier data comparison and editing. For example, you can swap the first column with the last or swap the second column with the third. To swap columns based on their positions, select the"
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},
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"transposeCsv": {
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"title": "Transpose CSV",
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"description": "Just upload your CSV file in the form below, and this tool will automatically transpose your CSV. In the tool options, you can specify the character that starts the comment lines in the CSV to remove them. Additionally, if the CSV is incomplete (missing values), you can replace missing values with the empty character or a custom character.",
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"shortDescription": "Quickly transpose a CSV file.",
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"longDescription": "This tool transposes Comma Separated Values (CSV). It treats the CSV as a matrix of data and flips all elements across the main diagonal. The output contains the same CSV data as the input, but now all the rows have become columns, and all the columns have become rows. After transposition, the CSV file will have opposite dimensions. For example, if the input file has 4 columns and 3 rows, the output file will have 3 columns and 4 rows. During conversion, the program also cleans the data from unnecessary lines and corrects incomplete data. Specifically, the tool automatically deletes all empty records and comments that begin with a specific character, which you can set in the option. Additionally, in cases where the CSV data is corrupted or lost, the utility completes the file with empty fields or custom fields that can be specified in the options. Csv-abulous!"
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}
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}
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@@ -1,123 +0,0 @@
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{
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"changeSeparator": {
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"title": "CSV विभाजक बदलें",
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"description": "CSV फ़ाइल में विभाजक वर्ण बदलें।",
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"inputTitle": "इनपुट CSV",
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"resultTitle": "परिवर्तित CSV",
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"separatorOptions": "विभाजक विकल्प",
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"inputSeparator": "इनपुट विभाजक",
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"inputSeparatorPlaceholder": "विभाजक",
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"outputSeparator": "आउटपुट विभाजक",
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"outputSeparatorPlaceholder": "विभाजक",
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"commonSeparators": "सामान्य विभाजक",
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"comma": "कॉमा",
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"semicolon": "सेमीकोलन",
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"tab": "टैब",
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"pipe": "पाइप"
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},
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"rowsToColumns": {
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"title": "CSV पंक्तियां से स्तंभ",
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"description": "CSV डेटा को पंक्तियों से स्तंभों में बदलें।",
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"inputTitle": "इनपुट CSV",
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"resultTitle": "परिवर्तित CSV",
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"transformationOptions": "परिवर्तन विकल्प",
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"transposeData": "डेटा ट्रांसपोज़ करें",
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"includeHeaders": "शीर्षक शामिल करें",
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"separatorPlaceholder": "विभाजक"
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},
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"csvToJson": {
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"title": "CSV से JSON",
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"description": "CSV डेटा को JSON प्रारूप में बदलें।",
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"inputTitle": "इनपुट CSV",
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"resultTitle": "JSON परिणाम",
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"conversionOptions": "रूपांतरण विकल्प",
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"firstRowAsHeaders": "पहली पंक्ति शीर्षक के रूप में",
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"includeHeaders": "शीर्षक शामिल करें",
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"outputFormat": "आउटपुट प्रारूप",
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"arrayFormat": "सरणी प्रारूप",
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"objectFormat": "ऑब्जेक्ट प्रारूप",
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"separatorPlaceholder": "विभाजक"
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},
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"csvToTsv": {
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"title": "CSV से TSV",
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"description": "CSV फ़ाइल को TSV प्रारूप में बदलें।",
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"inputTitle": "इनपुट CSV",
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"resultTitle": "TSV परिणाम",
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"conversionOptions": "रूपांतरण विकल्प",
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"inputSeparator": "इनपुट विभाजक",
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"inputSeparatorPlaceholder": "विभाजक",
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"preserveHeaders": "शीर्षक संरक्षित करें"
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},
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"csvToXml": {
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"title": "CSV से XML",
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"description": "CSV डेटा को XML प्रारूप में बदलें।",
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"inputTitle": "इनपुट CSV",
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"resultTitle": "XML परिणाम",
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"conversionOptions": "रूपांतरण विकल्प",
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"rootElement": "मूल तत्व",
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"rootPlaceholder": "तत्व नाम",
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"rowElement": "पंक्ति तत्व",
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"rowPlaceholder": "तत्व नाम",
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"firstRowAsHeaders": "पहली पंक्ति शीर्षक के रूप में",
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"separatorPlaceholder": "विभाजक"
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},
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"csvToYaml": {
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"title": "CSV से YAML",
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"description": "CSV डेटा को YAML प्रारूप में बदलें।",
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"inputTitle": "इनपुट CSV",
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"resultTitle": "YAML परिणाम",
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"conversionOptions": "रूपांतरण विकल्प",
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"firstRowAsHeaders": "पहली पंक्ति शीर्षक के रूप में",
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"includeHeaders": "शीर्षक शामिल करें",
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"indentSize": "इंडेंट आकार",
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"sizePlaceholder": "आकार",
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"separatorPlaceholder": "विभाजक"
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},
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"findIncompleteRecords": {
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"title": "अधूरे CSV रिकॉर्ड खोजें",
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"description": "CSV फ़ाइल में अधूरे रिकॉर्ड खोजें।",
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"inputTitle": "इनपुट CSV",
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"resultTitle": "अधूरे रिकॉर्ड",
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"searchOptions": "खोज विकल्प",
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"checkEmptyValues": "खाली मूल्य जांचें",
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"skipEmptyLines": "खाली पंक्तियां छोड़ें",
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"errorLimit": "त्रुटि सीमा",
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"limitPlaceholder": "सीमा",
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"separatorPlaceholder": "विभाजक"
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},
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"insertColumns": {
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"title": "CSV स्तंभ डालें",
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"description": "CSV फ़ाइल में नए स्तंभ डालें।",
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"inputTitle": "इनपुट CSV",
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"resultTitle": "संशोधित CSV",
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"insertionOptions": "डालने के विकल्प",
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"insertPosition": "डालने की स्थिति",
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"positionPlaceholder": "स्थिति",
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"columnNames": "स्तंभ नाम",
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"namesPlaceholder": "नाम (कॉमा से अलग)",
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"defaultValues": "डिफ़ॉल्ट मूल्य",
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"valuesPlaceholder": "मूल्य (कॉमा से अलग)",
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"separatorPlaceholder": "विभाजक"
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},
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"swapColumns": {
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"title": "CSV स्तंभ बदलें",
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"description": "CSV फ़ाइल में स्तंभों की स्थिति बदलें।",
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"inputTitle": "इनपुट CSV",
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"resultTitle": "संशोधित CSV",
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"swapOptions": "बदलने के विकल्प",
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"firstColumn": "पहला स्तंभ",
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"firstColumnPlaceholder": "स्तंभ संख्या",
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"secondColumn": "दूसरा स्तंभ",
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"secondColumnPlaceholder": "स्तंभ संख्या",
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"separatorPlaceholder": "विभाजक"
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},
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"transposeCsv": {
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"title": "CSV ट्रांसपोज़ करें",
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"description": "CSV डेटा को ट्रांसपोज़ करें (पंक्तियों को स्तंभों में बदलें)।",
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"inputTitle": "इनपुट CSV",
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"resultTitle": "ट्रांसपोज़ किया गया CSV",
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"transposeOptions": "ट्रांसपोज़ विकल्प",
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"includeHeaders": "शीर्षक शामिल करें",
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"separatorPlaceholder": "विभाजक"
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}
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}
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