Bulk Edit 100+ Files in Minutes: Excel to PDF, Rename, Convert with AI

You need to prepare 50 client documents for distribution. Each one needs to be:

• Renamed with client name and date
• Converted from Excel to PDF
• Organized into proper folders
• Maybe watermarked or formatted

Doing this manually: Open each file, export as PDF, save with new name, move to folder. Repeat 49 more times.

Time required: 2-3 hours of soul-crushing repetitive work.

There's a better way. Stash handles bulk file operations so you can process hundreds of files in minutes, not hours.

The Bulk File Problem

Whenever you have many similar files that need the same treatment, you're stuck with tedious manual work:

Common scenarios:

• Converting 100 Excel reports to PDF
• Renaming files with proper naming conventions
• Resizing or formatting batches of images
• Organizing files into categorized folders
• Updating metadata across many documents
• Extracting specific sheets from multiple workbooks

Manual approach:

• Open file → Make change → Save → Repeat
• Easy to make mistakes (naming inconsistency, wrong format)
• Takes hours for what should take minutes
• Mind-numbingly boring work

Result: You procrastinate on file organization. Files stay messy. Projects get delayed because "preparing the files" is such a chore.

How Stash Handles Bulk Operations

Instead of one-by-one processing, do everything at once:

1. Select Your Files

Import or select the files you need to process:

• 50 Excel spreadsheets
• 100 Word documents
• 200 images
• Whatever you've got

2. Define the Operation

Tell Stash what you want to do:

Bulk rename: "Rename all files as: ClientName_Report_Date.pdf"

Stash intelligently extracts relevant info (client name from content, current date) and renames everything consistently.

Format conversion: "Convert all Excel files to PDF"

Stash processes all files, maintaining formatting and creating clean PDFs.

File organization: "Sort these files into folders by client name"

Stash reads the files, identifies which client each relates to, creates folders, and moves files accordingly.

Batch processing: "Extract Sheet 1 from all these Excel workbooks and save as separate files"

Complex operation done across hundreds of files in one command.

3. Review and Execute

Stash shows you a preview:

• "These 50 files will be renamed like this..."
• "These 30 files will go in Client A folder..."
• "These PDFs will be created..."

You confirm, and it processes everything in the background.

What would've taken 3 hours takes 5 minutes.

Real Examples: Bulk Operations That Save Hours

Example 1: Client Deliverables

Scenario: You need to send Q4 reports to 40 clients. Each client gets a personalized PDF.

Manual way:

1. Open Excel template
2. Filter data for Client A
3. Export as PDF
4. Rename file: "Q4_Report_ClientA_Dec2025.pdf"
5. Save to Client A folder
6. Repeat 39 more times

Time: 3-4 hours

With Stash:

1. Import Excel files
2. "Create individual PDFs for each client, named as: Q4Report[ClientName]_Dec2025.pdf"
3. "Organize into client folders"
4. Review and execute

Time: 10 minutes (most of it is AI processing)

Example 2: Marketing Asset Preparation

Scenario: 100 images need to be resized, renamed, and sorted by campaign.

Manual way:

• Open each image in editor
• Resize to spec
• Save with naming convention
• Move to correct folder
• Repeat 99 more times

Time: 2+ hours

With Stash:

• Import all images
• "Resize to 1200x800, rename as CampaignAsset##, sort by campaign tag"
• Done in 5 minutes

Example 3: Data Extraction

Scenario: Extract "Summary" tab from 80 Excel workbooks and save as individual files.

Manual way:

• Open workbook
• Copy Summary sheet
• Create new file
• Paste, save with new name
• Repeat 79 more times

Time: 2-3 hours

With Stash:

• "Extract Summary sheet from all workbooks, save as [OriginalName]_Summary.xlsx"
• Done in under 10 minutes

Beyond Basic Conversions: Smart Processing

Stash doesn't just do simple transformations—it understands context:

Intelligent naming: Extract client names from content, not just filenames Add dates, project codes, version numbers automatically

Content-based sorting: Organize by topic, client, project phase based on what's actually in the file

Conditional processing: "Convert to PDF only if file is newer than June 2025" "Rename client files differently than internal docs"

Quality control: "Flag any files that don't match the expected format" "Show me files that might have errors"

Common Bulk Operations

File conversion:

• Excel → PDF
• Word → PDF
• Images → Different formats/sizes
• Multiple PDFs → Combined single PDF

Renaming:

• Apply consistent naming convention
• Add dates, client names, project codes
• Remove special characters or standardize format
• Sequential numbering

Organization:

• Sort into folders by category/client/date
• Move files based on content
• Archive old versions
• De-duplicate similar files

Extraction:

• Pull specific sheets from Excel files
• Extract pages from PDFs
• Separate combined documents
• Get data from structured files

Metadata updates:

• Add tags or properties
• Update author/company info
• Set creation dates consistently
• Add watermarks or headers

The Time Savings Are Ridiculous

Think about how often you need to process multiple files:

Weekly tasks:

• Client reporting: Save 2 hours/week
• Asset preparation: Save 1 hour/week
• File organization: Save 1 hour/week

Monthly tasks:

• Invoice processing: Save 2 hours/month
• Document distribution: Save 3 hours/month

Quarterly tasks:

• Bulk reporting: Save 4 hours/quarter

Conservative estimate: 20-30 hours saved per month

That's almost a full work week you get back every single month.

Getting Started

1. Identify your next bulk file task (the one you're dreading)
2. Import files to Stash
3. Describe what you need: rename, convert, organize, extract
4. Review the preview to make sure it's doing what you want
5. Execute and watch hours of work happen in minutes

The first time you use it, you'll wonder how you ever did bulk operations manually.

---

Stop editing files one by one like it's 1995. Try Stash and process hundreds of files in minutes.