fix: adjusting CSV Meta file for consistency

src/pages/tools/csv/change-csv-separator/meta.ts

@@ -2,7 +2,7 @@ import { defineTool } from '@tools/defineTool';
 import { lazy } from 'react';
 
 export const tool = defineTool('csv', {
-  name: 'Change csv separator',
+  name: 'Change CSV separator',
   path: 'change-csv-separator',
   icon: 'material-symbols:split-scene-rounded',
   description:

src/pages/tools/csv/csv-rows-to-columns/meta.ts

@@ -9,7 +9,7 @@ export const tool = defineTool('csv', {
     '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!.',
-  shortDescription: 'Convert CSV rows to columns',
+  shortDescription: 'Convert CSV rows to columns.',
   keywords: ['csv', 'rows', 'columns', 'transpose'],
   component: lazy(() => import('./index'))
 });

src/pages/tools/csv/csv-to-json/meta.ts

@@ -7,7 +7,7 @@ export const tool = defineTool('csv', {
   icon: 'lets-icons:json-light',
   description:
     'Convert CSV files to JSON format with customizable options for delimiters, quotes, and output formatting. Support for headers, comments, and dynamic type conversion.',
-  shortDescription: 'Convert CSV data to JSON format',
+  shortDescription: 'Convert CSV data to JSON format.',
   keywords: ['csv', 'json', 'convert', 'transform', 'parse'],
   component: lazy(() => import('./index'))
 });

src/pages/tools/csv/csv-to-tsv/meta.ts

@@ -7,7 +7,7 @@ export const tool = defineTool('csv', {
   icon: 'codicon:keyboard-tab',
   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.',
-  shortDescription: 'Convert CSV data to TSV format',
+  shortDescription: 'Convert CSV data to TSV format.',
   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 (","), while TSV uses tabs ("\t"). If we compare CSV files to TSV files, then CSV files are much harder to parse than TSV files because the values themselves may contain commas, so it is not always obvious where one field starts and ends without complicated parsing rules. TSV, on the other hand, uses just a tab symbol, which does not usually appear in data, so separating fields in TSV is as simple as splitting the input by the tab character. To convert CSV to TSV, simply input the CSV data in the input of this tool. In rare cases when a CSV file has a delimiter other than a comma, you can specify the current delimiter in the options of the tool. You can also specify the current quote character and the comment start character. Additionally, empty CSV lines can be skipped by activating the "Ignore Lines with No Data" option. If this option is off, then empty lines in the CSV are converted to empty TSV lines. The "Preserve Headers" option allows you to choose whether to process column headers of a CSV file. If the option is selected, then the resulting TSV file will include the first row of the input CSV file, which contains the column names. Alternatively, if the headers option is not selected, the first row will be skipped during the data conversion process. For the reverse conversion from TSV to CSV, you can use our Convert TSV to CSV tool. Csv-abulous!',
   keywords: ['csv', 'tsv', 'convert', 'transform', 'parse'],

src/pages/tools/csv/csv-to-xml/meta.ts

@@ -6,7 +6,7 @@ export const tool = defineTool('csv', {
   path: 'csv-to-xml',
   icon: 'mdi-light:xml',
   description: 'Convert CSV files to XML format with customizable options.',
-  shortDescription: 'Convert CSV data to XML format',
+  shortDescription: 'Convert CSV data to XML format.',
   keywords: ['csv', 'xml', 'convert', 'transform', 'parse'],
   component: lazy(() => import('./index'))
 });

src/pages/tools/csv/csv-to-yaml/meta.ts

@@ -2,7 +2,7 @@ import { defineTool } from '@tools/defineTool';
 import { lazy } from 'react';
 
 export const tool = defineTool('csv', {
-  name: 'Csv to yaml',
+  name: 'Convert CSV to YAML',
   path: 'csv-to-yaml',
   icon: 'nonicons:yaml-16',
   description:

src/pages/tools/csv/find-incomplete-csv-records/meta.ts

@@ -2,7 +2,7 @@ import { defineTool } from '@tools/defineTool';
 import { lazy } from 'react';
 
 export const tool = defineTool('csv', {
-  name: 'Find incomplete csv records',
+  name: 'Find incomplete CSV records',
   path: 'find-incomplete-csv-records',
   icon: 'tdesign:search-error',
   description:

src/pages/tools/csv/swap-csv-columns/meta.ts

@@ -7,7 +7,7 @@ export const tool = defineTool('csv', {
   icon: 'eva:swap-outline',
   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.',
-  shortDescription: 'Reorder CSV columns',
+  shortDescription: 'Reorder CSV columns.',
   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 "Set Column Position" mode and enter the numbers of the "from" and "to" columns to be swapped in the first and second blocks of options. For example, if you have a CSV file with four columns "1, 2, 3, 4" and swap columns with positions "2" and "4", the output CSV will have columns in the order: "1, 4, 3, 2".As an alternative to positions, you can swap columns by specifying their headers (column names on the first row of data). If you enable this mode in the options, then you can enter the column names like "location" and "city", and the program will swap these two columns. If any of the specified columns have incomplete data (some fields are missing), you can choose to skip such data or fill the missing fields with empty values or custom values (specified in the options). Additionally, you can specify the symbol used for comments in the CSV data, such as "#" or "//". If you do not need the commented lines in the output, you can remove them by using the "Delete Comments" checkbox. You can also activate the checkbox "Delete Empty Lines" to get rid of empty lines that contain no visible information. Csv-abulous!',
   keywords: ['csv', 'swap', 'columns'],