RefId based PDF matching in EasySLR

RefId based PDF matching in EasySLR

RefId Matching makes full-text screening in EasySLR more efficient by auto-matching uploaded PDFs and supplementary files to citations, eliminating tedious manual linking and ensuring a faster workflow.

Individual PDF upload:
Before you begin, ensure that all PDFs are saved in a local folder and renamed using their RefId (e.g., 14_sozar.pdf).

How to Use RefId Matching

Step 1: Go to your project and click on: Uploads > Full Text> RefId PDF Uploads.


Step 2: Click “Add RefId PDF Upload” and select the PDFs files (max 150 per batch). You can upload PDFs in multiple batches.

Step 3: Automatic Matching: EasySLR will automatically match each PDF to the corresponding article.

You'll see a table showing:
  • Matched files
  • Unmatched (if any)
  • You also have an option to replace the existing PDFs, if required.

Step 4: Upload Matched PDFs
Click Upload PDFs to complete the process. The system will add the PDFs to your articles under the Full Text and Data Extraction stage.

RefId-Based Folder Upload:
EasySLR also supports uploading an entire folder containing PDFs and supplementary files. Saves significant time, especially for projects with large datasets or numerous documents.

How to Use Folder Upload:

  1. Go to Uploads > Full Text > RefId PDF Uploads.
  2. Click “Add RefId PDF Upload” and select the folder containing your PDFs and supplementary files.
  3. EasySLR will automatically scan the folder, match files to citations, and display matched/unmatched files.
  1. Click “Upload PDFs” to complete the process.
Maximum number of files per folder upload: 150. Multiple folder uploads are allowed.

Tips for Successful RefId Matching
  • Always verify RefIds in file names before uploading.
  • Check the Matched/Unmatched table to ensure no files were missed.
  • For unmatched files, confirm that the RefId matches the article in EasySLR.
  • Consider replacing older PDFs with updated versions if necessary.

Q. Is AI involved in this process?
No. RefId matching does not involve AI, so no AI credits are consumed.

Refer to the short video for guidance: https://youtu.be/YJyJWNgu6hs

Need Help?
Reach out via the Live Chat option in EasySLR or email us at support@easyslr.com.



    • Related Articles

    • Direct PDF Uploads in EasySLR

      Direct PDF Matching in EasySLR allows users to automatically match and upload multiple full-text PDFs. This streamlines the process of linking full texts with citations—saving you time and effort during the full-text screening stage. Easily match and ...
    • What file formats are supported in upload?

      For Title-abstract screening: Currently, .RIS, NBIB and .xlsx formats are supported for the “Title Abstract” screening. This information is also displayed while uploading a new project for easy understanding. For Full-text screening: Bulk PDF upload ...
    • How to bulk upload PDFs using reference manager?

      At EasySLR, we understand the importance of efficient workflow management, especially when handling extensive research literature. Our Bulk PDF Upload feature is designed to streamline your research process by allowing the seamless import of large ...
    • How can I edit/change my decisions?

      EasySLR understands the importance of keeping screening decisions aligned with evolving project needs. To support this, reviewers have the option to update their decisions even after submission—provided the feature is enabled in the workflow ...
    • How to Use the Bulk Include/Exclude Feature in EasySLR?

      The Bulk Include/Exclude feature in EasySLR allows users to quickly select multiple articles and mark them as Included or Excluded in a single action. This significantly reduces the time spent on screening large datasets and improves workflow ...