Inyungu zo mu ndimi nyinshi OCR APIs zo gutunganya inyandiko no gutumanaho kwisi : Izi API zorohereza gutunganya inyandiko no kunoza uburyo bworoshye kubakoresha mpuzamahanga. Na none, bongera imbaraga mubusemuzi nimbaraga zaho.
Koresha imanza zindimi nyinshi JavaScript OCR API mugukoresha inyandiko hamwe nibikoresho byitumanaho: Turaganira ku guhuza hamwe na porogaramu zo kuganira, urubuga rw’ubuhinduzi, hamwe na sisitemu yo gucunga ibikubiyemo, hamwe n'ingero za kode kugira ngo dushyire mu bikorwa ibyo biranga.
Uru rugero rworoshye rwerekana uburyo ushobora guhuza Filestack JavaScript OCR API muri porogaramu yo kuganira kugirango umenye inyandiko ziva mumashusho cyangwa amashusho:
<!-- Include the Filestack JavaScript SDK in your HTML file --> <script src="//static.filestackapi.com/filestack-js/3.xx/filestack.min.js"></script> <script> // Initialize the Filestack client const client = filestack.init('YOUR_API_KEY'); // Function to upload an image and apply OCR function processImageForOCR(imageFile) { // Upload the image to Filestack client.upload(imageFile) .then(response => { // Get the handle for the uploaded image const fileHandle = response.handle; // Apply OCR transformation on the uploaded image return client.transform(fileHandle, { ocr: { language: 'eng' } // Specify language or use auto-detection }); }) .then(ocrResult => { // Extract the recognized text from the response const recognizedText = ocrResult.data.text; console.log('Recognized Text:', recognizedText); // Use the recognized text in your chat application // For example, send it as a chat message or display it in the chat interface document.getElementById('chatBox').innerText = recognizedText; }) .catch(error => { console.error('Error during OCR process:', error); }); } // Example usage: When an image is selected/uploaded in the chat document.getElementById('imageInput').addEventListener('change', (event) => { const imageFile = event.target.files[0]; processImageForOCR(imageFile); }); </script>
Ibisobanuro:
Filestack SDK Inyandiko: <Inyandiko src = " igufasha gukoresha filestack.init () mumikorere ya code ya JavaScript.
Gutangiza: Tangiza umukiriya wa Filestack ukoresheje urufunguzo rwa API.
Kuramo Ishusho: Iyo ishusho yoherejwe (urugero, binyuze muri dosiye yinjiza muri porogaramu yo kuganira), iba yoherejwe kuri Filestack.
Hano hari kode yoroshye yerekana uburyo wakoresha Filestack Indimi nyinshi JavaScript OCR API muri porogaramu yubusobanuro. Uru rugero rwerekana uburyo bwo kohereza inyandiko yabikijwe, PDF, cyangwa ishusho, kumenya inyandiko ukoresheje OCR, no kuyitegura kugirango ihindurwe:
<!-- Include the Filestack JavaScript SDK in your HTML file --> <script src="//static.filestackapi.com/filestack-js/3.xx/filestack.min.js"></script> // Initialize the Filestack client const client = filestack.init('YOUR_API_KEY'); // Function to process the uploaded file and apply OCR function processFileForTranslation(file) { // Upload the file to Filestack client.upload(file) .then(response => { // Get the file handle after upload const fileHandle = response.handle; // Apply OCR to extract text from the file return client.transform(fileHandle, { ocr: { language: 'auto' } // Auto-detect language or specify a specific language like 'eng' }); }) .then(ocrResult => { // Extract the recognized text const recognizedText = ocrResult.data.text; console.log('Extracted Text for Translation:', recognizedText); // Send the recognized text to a translation API (eg, Google Translate API) translateText(recognizedText, 'en'); // Example: translating to English }) .catch(error => { console.error('Error during OCR process:', error); }); } // Function to translate the extracted text (using a mock translation API) function translateText(text, targetLanguage) { // Placeholder for the translation API logic console.log(`Translating the following text to ${targetLanguage}:`, text); // Example: Make an API call to a translation service here (like Google Translate) // fetch(`//translation.api/translate?text=${encodeURIComponent(text)}&target=${targetLanguage}`) // .then(response => response.json()) // .then(translation => { // console.log('Translation:', translation.translatedText); // document.getElementById('translatedText').innerText = translation.translatedText; // }) // .catch(error => { // console.error('Translation error:', error); // }); } // Example: When a user uploads a document or image for translation document.getElementById('fileInput').addEventListener('change', (event) => { const file = event.target.files[0]; processFileForTranslation(file); });
Bamwe muri OCR API bakoresha imashini yiga imashini (ML) algorithms na AI kugirango barebe neza indimi zitandukanye. Niba ukorana nindimi zigoye, nibyiza guhitamo API ikubiyemo imiyoboro yimitsi nuburyo bwimbitse bwo kwiga.
Na none, nibyiza gukora ibizamini bisanzwe byukuri no gutanga ibitekerezo kubatanga OCR API kugirango banonosore inzira yo kumenyekanisha inyandiko kurushaho.