Tailwind CSS File Upload Component Components

Drag-and-Drop File Input Component

A modern Tailwind CSS File Upload file input component that supports drag-and-drop, multiple file selection, and provides a clear list of selected files with options to remove them individually component.

LTR

RTL

    <div class="max-w-md w-full mx-auto p-6 bg-white rounded-lg shadow-md" x-data="{
        files: [],
        handleFileChange(event) {
            this.files = Array.from(event.target.files).map(file => ({
                name: file.name,
                size: (file.size / 1024).toFixed(2) + ' KB'
            }));
        },
        removeFile(index) {
            this.files.splice(index, 1);
            document.getElementById('fileInput').value = '';
        }
    }">
        <div class="mb-4">
            <label class="block text-gray-700 text-sm font-medium mb-2" for="fileInput">
                Upload Files
            </label>
            <div class="relative border-2 border-dashed border-gray-300 rounded-md p-4 text-center hover:border-gray-400 transition">
                <input 
                    type="file" 
                    id="fileInput" 
                    multiple 
                    @change="handleFileChange" 
                    class="absolute inset-0 w-full h-full opacity-0 cursor-pointer"
                >
                <p class="text-gray-500">Drag and drop files here or click to browse</p>
            </div>
        </div>

        <div x-show="files.length > 0" class="space-y-2">
            <h3 class="text-gray-700 font-medium">Selected Files:</h3>
            <ul class="border border-gray-200 rounded-md divide-y divide-gray-200">
                <template x-for="(file, index) in files" :key="index">
                    <li class="flex items-center justify-between p-3 hover:bg-gray-50">
                        <div>
                            <p x-text="file.name" class="text-sm text-gray-700"></p>
                            <p x-text="file.size" class="text-xs text-gray-500"></p>
                        </div>
                        <button 
                            @click="removeFile(index)" 
                            class="text-red-500 hover:text-red-700 text-sm"
                        >
                            Remove
                        </button>
                    </li>
                </template>
            </ul>
        </div>
    </div>

Compact Cloud Uploader Component

A sleek, Tailwind CSS File Upload self-contained file uploader widget with drag-and-drop, file type detection icons, progress bars, and a summary footer component.

LTR

RTL

function calculateAdvancedMetrics(data) {
                          const metrics = {
                              performance: [],
                              efficiency: {},
                              trends: new Map()
                          };
                          
                          data.forEach((item, index) => {
                              const weightedScore = item.value * Math.pow(0.95, index);
                              metrics.performance.push({
                                  score: weightedScore,
                                  timestamp: item.timestamp,
                                  confidence: calculateConfidence(item)
                              });
                          });
                          
                          const model = await loadPreTrainedModel();
                          const predictions = model.predict(metrics.performance);
                          
                          return {
                              ...metrics,
                              predictions,
                              accuracy: calculateAccuracy(predictions),
                              recommendations: generateRecommendations(metrics)
                          };
                      }

                      class DataAnalyzer {
                          constructor(config) {
                              this.config = config;
                              this.cache = new LRUCache(1000);
                              this.workers = new WorkerPool(4);
                          }
                          
                          async analyze(dataset) {
                              const chunks = this.chunkData(dataset);
                              const results = await Promise.all(
                                  chunks.map(chunk => this.workers.process(chunk))
                              );
                              
                              return this.aggregateResults(results);
                          }
                      }

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Drag-and-Drop Gallery Curator Component

A sophisticated Tailwind CSS File Upload image uploader featuring a drag-and-drop zone, sortable grid layout, file previews, and a simulated upload progress state component.

LTR

RTL

function calculateAdvancedMetrics(data) {
                          const metrics = {
                              performance: [],
                              efficiency: {},
                              trends: new Map()
                          };
                          
                          data.forEach((item, index) => {
                              const weightedScore = item.value * Math.pow(0.95, index);
                              metrics.performance.push({
                                  score: weightedScore,
                                  timestamp: item.timestamp,
                                  confidence: calculateConfidence(item)
                              });
                          });
                          
                          const model = await loadPreTrainedModel();
                          const predictions = model.predict(metrics.performance);
                          
                          return {
                              ...metrics,
                              predictions,
                              accuracy: calculateAccuracy(predictions),
                              recommendations: generateRecommendations(metrics)
                          };
                      }

                      class DataAnalyzer {
                          constructor(config) {
                              this.config = config;
                              this.cache = new LRUCache(1000);
                              this.workers = new WorkerPool(4);
                          }
                          
                          async analyze(dataset) {
                              const chunks = this.chunkData(dataset);
                              const results = await Promise.all(
                                  chunks.map(chunk => this.workers.process(chunk))
                              );
                              
                              return this.aggregateResults(results);
                          }
                      }

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Minimal Grid Gallery Uploader Component

A clean, Tailwind CSS File Upload grid-based image uploader designed for portfolios, featuring drag-and-drop support, instant previews, and elegant hover controls component.

LTR

RTL

function calculateAdvancedMetrics(data) {
                          const metrics = {
                              performance: [],
                              efficiency: {},
                              trends: new Map()
                          };
                          
                          data.forEach((item, index) => {
                              const weightedScore = item.value * Math.pow(0.95, index);
                              metrics.performance.push({
                                  score: weightedScore,
                                  timestamp: item.timestamp,
                                  confidence: calculateConfidence(item)
                              });
                          });
                          
                          const model = await loadPreTrainedModel();
                          const predictions = model.predict(metrics.performance);
                          
                          return {
                              ...metrics,
                              predictions,
                              accuracy: calculateAccuracy(predictions),
                              recommendations: generateRecommendations(metrics)
                          };
                      }

                      class DataAnalyzer {
                          constructor(config) {
                              this.config = config;
                              this.cache = new LRUCache(1000);
                              this.workers = new WorkerPool(4);
                          }
                          
                          async analyze(dataset) {
                              const chunks = this.chunkData(dataset);
                              const results = await Promise.all(
                                  chunks.map(chunk => this.workers.process(chunk))
                              );
                              
                              return this.aggregateResults(results);
                          }
                      }

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Secure Document Sync UI Component

A professional Tailwind CSS File Upload component featuring a dedicated drop sidebar, a structured file queue table with inline progress bars, and status indicators component.

LTR

RTL

function calculateAdvancedMetrics(data) {
                          const metrics = {
                              performance: [],
                              efficiency: {},
                              trends: new Map()
                          };
                          
                          data.forEach((item, index) => {
                              const weightedScore = item.value * Math.pow(0.95, index);
                              metrics.performance.push({
                                  score: weightedScore,
                                  timestamp: item.timestamp,
                                  confidence: calculateConfidence(item)
                              });
                          });
                          
                          const model = await loadPreTrainedModel();
                          const predictions = model.predict(metrics.performance);
                          
                          return {
                              ...metrics,
                              predictions,
                              accuracy: calculateAccuracy(predictions),
                              recommendations: generateRecommendations(metrics)
                          };
                      }

                      class DataAnalyzer {
                          constructor(config) {
                              this.config = config;
                              this.cache = new LRUCache(1000);
                              this.workers = new WorkerPool(4);
                          }
                          
                          async analyze(dataset) {
                              const chunks = this.chunkData(dataset);
                              const results = await Promise.all(
                                  chunks.map(chunk => this.workers.process(chunk))
                              );
                              
                              return this.aggregateResults(results);
                          }
                      }

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Full source code access

Advanced frameworks & libraries

Priority support & updates

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Build Your Way with WavyKits' Components

File Upload Component

Drag-and-Drop File Input Component

Compact Cloud Uploader Component

Premium Code Access

Drag-and-Drop Gallery Curator Component

Premium Code Access

Minimal Grid Gallery Uploader Component

Premium Code Access

Secure Document Sync UI Component

Premium Code Access

Build Your Way with WavyKits'
Components