Gists
This is a sample script for creating Google Document by converting PDF and image files with OCR using Google Apps Script.
Before you run this sample script, please install a GAS library of FetchApp.
function sample() { var fileId = "### fileId of PDF file and image files ###"; var metadata = { name: "sampleDocument", // Filename of created Google Document mimeType: MimeType.GOOGLE_DOCS // MimeType of Google Document }; var fileBlob = DriveApp.
Overview This is a GAS library for creating and requesting the type of multipart/form-data using Google Apps Script. This library enhances Class UelFetchApp of Google Apps Script.
Description In order to fetch data from URL, there is Class UrlFetchApp in Google Apps Script. As the method for fetching, there is the method of fetch(url, params). In the current stage which was released this library, when user want to request with the type of multipart/form-data, the request body is required to be created by the user.
Gists
This is a sample script for converting a lot of files to Google Docs (Spreadsheet, Document and Slides).
Batch request can be used for converting files. In this sample script, the files are converted using the batch request. Batch request can request 100 API by one API call. This sample script uses the fetchAll method. So even if there are over 100 files, this script can process them. Sample script: Before you run the script, please set the variables at main().
ImgApp was updated to v1.2.2.
v1.2.2 (April 6, 2019)
By Google’s update, the error of “Malformed multipart body.” occurs. This error was resolved.
You can see the detail information here https://github.com/tanaikech/ImgApp
Gists
When an image is inserted to Google Docs (Spreadsheet, Document and Slides) using the method of insertImage using Google Apps Script, there is the case that the error occurs. The error messages are “server error” and “invalid image data”. Here, I would like to introduce the limitations for inserting images to Google Docs. As the result, it was found that the limitation is due to both the mimeTypes and the area of image rather than the file size.