Little Forest is a new tool that helps remediate inaccessible documents by adding tags and alternative text (alt text) to high-priority PDFs.
Important: The initial use of this tool is prioritized for academic course content PDF remediation to prioritize the student experience. It is not yet approved for use in UW Medicine, including the School of Medicine.
Things to know before you start
1. When possible, use accessibly sourced documents instead of remediating in Little Forest.
- If you saved to PDF a file you created in Word, PowerPoint or another tool, it is simpler to make the original file accessible and share in the original format.
- If your PDF is an article from UW Libraries, check first that there isn鈥檛 an accessible (HTML) alternative available.
- Little Forest leverages AI for automation. Please see the section below NOTE: Little Forest uses Artificial Intelligence for more details.
- If there is no easy way to make the file accessible, Little Forest can help.
2. What Little Forest can do 鈥 tagging and adding alt text.
Tagging: PDFs must be 鈥渢agged鈥 to be accessible. PDF tags define the structure of the document for headings, lists, and tables. Some document authoring tools don鈥檛 create tags. Even tools that export to tagged PDFs like Microsoft Word and PowerPoint require diligence from the author to ensure content tags are correct. Little Forest helps by adding appropriate tags.
Alt text: Alternative text is a short description of document images or graphics for screen reader users. 聽Little Forest auto-generates suggested alt text that you can then edit for accuracy.
3. What Little Forest can鈥檛 do 鈥 tool limitations:
- It鈥檚 not perfect. Little Forest can add tags (headers, lists, tables, etc.) and alt text but automation is imperfect. The remediated PDF produced by this tool may require manual remediation.
- It cannot remediate PDF forms. Document-based forms have complex structures that are beyond the scope of this tool to remediate. Recommendations for PDF forms will be forthcoming.
- It cannot make equations accessible in PDFs. This tool does not currently have the capacity to remediate equations. Recommendations for publishing accessible equations will be published soon.
- It cannot fix color contrast issues. Accessibility standards require a minimum contrast ratio between foreground and background colors. Color choices should be addressed in the original source document. Use the accessibility checkers within your authoring tool and/or contrast checkers before saving to PDF. See our Tools page for several options.
4. Important: Little Forest will override any past remediation.
Little Forest will not preserve previously remediated tags or alt text. If PDFs are already tagged with headings, lists, tables, etc., or if alt text has already been added to images, Little Forest will replace the existing tags with new ones.
Step-by-step Little Forest guide
Step 1. Login to Little Forest.
- Start at
- Enter your UW email address.
- Click on 鈥淟ogin using SSO (Washington)鈥 to login with your UW NetID.
Step 2. Upload a PDF to remediate
After logging in, you will land on the 鈥淧DF Remediation Workflows鈥 page.
- Click the 鈥淣ew Workflow鈥 button near the top right corner of the page which opens a 鈥淪tart PDF Remediation Workflow鈥 dialog box.
- Name your workflow in the 鈥淲orkflow Name鈥 field. This name will appear in a sortable column in the 鈥淢y Workflows鈥 table, so keep this in mind when coming up with a naming convention.
- Assign a Reviewer (optional): Little Forest auto-generates alt text that should be reviewed by someone who understands the content. To review it yourself, leave this field blank. To assign this task to someone else, enter their UW email address in the field. If they appear in the drop-down list, select their name. If they don鈥檛 appear in the list, continue typing their full email address and click the 鈥淎dd鈥 button to send them an invitation.
- Upload the PDF that you want to remediate.
- Click the 鈥淪tart Workflow鈥 button. Expect to wait several minutes or more, depending on the number of pages.
Step 3. Review the suggested alt text for images.
Check the suggested alt text for accuracy. If you assigned a Reviewer, they will receive an email with a link to login and a prompt to access the workflow page for their assigned PDF.
- Click the 鈥淩eview Images鈥 button. This will open a 鈥淩eview Alt Text鈥 dialog box with a thumbnail of each image along with recommended alt text.
- Edit the recommended alt text as needed. Good alt text briefly conveys the essential information or purpose of an image in context so that someone who can鈥檛 see it receives the same essential information as a sighted user.
- Click the 鈥淢ark as Decorative鈥 button if the image is purely decorative to hide the image from screen readers.
- Click the 鈥淪ubmit Corrections鈥 button after reviewing and editing all images, Little Forest will reprocess the PDF with your corrections.
- When it is finished, click the 鈥淢ark Review Complete鈥 button that will appear on the workflow page.
Step 4. Review scores, consider next steps.
The 鈥淎ccessibility Analysis鈥 section of the workflow page contains three scores:
- An Accessibility Score before processing 鈥 the accessibility of your original document
- An Accessibility Score after processing 鈥 the updated 鈥淪core (After AI)鈥 shows the accessibility of your document
- A Confidence Score 鈥 an indication of how confident Little Forest is that the remediated PDF meets accessibility requirements.
For Spring 2026, we鈥檙e aiming for scores above 85% for both the Accessibility Score after processing 鈥 the 鈥淪core (After AI)鈥 鈥 and the Confidence Score. 聽If both scores are 85% or better:
- Click the 鈥淒ownload Corrected鈥 button near the top of the page to download the final PDF from Little Forest.
If either of these two scores is less than 85%, the PDF needs further remediation and you can move on to Step 5.
The tool is improving, and we want to learn about accessibility issues that cannot currently be resolved. Watch for updates, let us know if you notice anything inaccessible that you haven鈥檛 been able to fix, and encourage students to report any accessibility barriers they may find.
Step 5. Pursue further remediation if your scores are under 85%.
If either your 鈥淪core (After AI)鈥 or your 鈥淐onfidence Score鈥 are under 85%, you have two options for pursuing additional remediation.
Option 1: Remediate remaining identified issues
If you have the skills to remediate PDFs and a license to Adobe Acrobat Pro or another tool, the work already performed by Little Forest make this process easier. This option may be quicker than Option 2 but requires specialized knowledge.
- Click the 鈥淒ownload Corrected鈥 button near the top of the page to download the final PDF from Little Forest.
The 鈥淎I Summary鈥 section of the Little Forest page includes 鈥淔actors Affecting Confidence,鈥 a detailed list of issues and recommendations that can be helpful if you are remediating the PDF yourself.
Option 2: Submit request for assistance to remediate identified issues
If you do not have the skills to remediate PDFs or a license to Adobe Acrobat Pro or another tool, submit your PDF for further remediation. Requests are handled by UWIT and estimated to take two or more weeks. Response times will vary depending on the number and complexity of requests.
- Click the 鈥淪ubmit for Human Review鈥 button in the Actions section of the workflow page. This will send a request to the UWIT Document Remediation Service.
- Documents are added to the queue in the order received.
- Trained staff will complete the final remediation, upload the final remediated document to Little Forest, and mark the workflow as complete.
- You will receive an email notification with a link to Little Forest.
- Download the final PDF by clicking the 鈥淒ownload Final PDF鈥 button on the Little Forest workflow page.
NOTE: Little Forest uses Artificial Intelligence (AI).
Little Forest uses AI to assist in generating accessibility tags and alternative text for PDFs as part of the document remediation process. The vendor has agreed to all applicable , including the UW Data Processing Agreement (DPA) and Security Rider. Little Forest has provided the following assurances regarding the handling of UW data and the use of AI:
- No UW PDFs uploaded to Little Forest are used for training their AI. Their AI is trained exclusively on publicly available PDFs from other sources.
- All data is stored in the United States using encrypted storage systems with restricted access and regular security audits.
- Processing occurs in secure, isolated environments with comprehensive access controls and monitoring.
- All data transfers use industry-standard encryption protocols to ensure secure transmission between systems.
- The UW has full control of Little Forest鈥檚 data retention policy. They align retention with our requirements. By default, both the original and remediated versions of all PDFs are only retained for 30 days and are then deleted.
Additional resources
See the following resources for additional information about PDF accessibility:
- Tagged PDF
- Making Accessible Documents
- Tools – our annotated list of accessibility tools. See especially the Document Accessibility Checkers section.