How Pitara works
Think of Pitara as a super-fast library catalog for your photos: you add folders once, Pitara builds an index, and then search stays fast even with huge collections. Your photos remain on your computer. For step-by-step setup, see the User Guide and FAQ.
1) Add your photo folders
When you open Pitara for the first time, choose the folders where your photos already live. You can add local folders, external drives, or network paths.
- Pitara scans supported formats like JPEG/JPG and HEIC/HEIF.
- It remembers locations, but it does not move or copy your originals.
- You can update folder paths anytime from Settings.
2) Build the index (one-time setup)
Indexing is like creating a catalog for your library. During this step, Pitara reads metadata, prepares thumbnails, and builds a search index so future searches are nearly instant.
- Metadata read: date taken, location (if GPS exists), camera details, and existing tags.
- Thumbnail generation: previews are created for fast browsing.
- Place name lookup: GPS coordinates can be converted to city/country names and cached for offline reuse.
- Search index creation: an optimized lookup table is built for fast matching.
Pitara can index 100,000 photos in about 4 hours. After the first run, it only processes new or changed photos.
3) Search naturally (Google-like)
| You type… | Pitara finds… |
|---|---|
| Summer nights in Paris in 2002 | Paris photos from summer evenings in 2002. |
| Weekend in Peru above 12000 feet | Weekend photos taken in Peru at high altitude — location and elevation combined. |
| from December 2021 with iPhone 13 Pro | December 2021 photos shot on an iPhone 13 Pro — date and camera in one search. |
| 20 years of Sunday mornings in Sammamish | Every Sunday morning photo from Sammamish across two decades. |
4) Work with results
- View: open photos quickly from search results.
- Tag: add or remove tags for one or many photos from the right-side edit widget.
- Export: copy selected photos to your export folder.
- Browse: use built-in catalogs and favorite searches to find photos quickly, without manually organizing anything first.
Tags are written to photo metadata so they stay useful across other tools and computers.
Auto-generated catalogs
Pitara creates catalogs automatically so you can browse your library from different angles:
- Places (for example, Seattle, New Delhi, New York)
- Time by year/month (for example, January 1997, March 2002)
- Hikes for mountain trips, trail memories, and outdoor adventures
- Your Tags (for example, cute long hair)
- Cameras (for example, iPhone XS, Samsung Galaxy, Nikon D70)
- Folders (for example, Kindergarten graduation)
- Holidays (for example, Thanksgiving, Halloween, Christmas, Diwali)
- This Day — photos taken on this day, this week, this month, or this season — updated automatically as time passes
- Favorites for quick repeat access
Privacy first: local by design
Core work happens on your computer: indexing, searching, thumbnails, tags, and settings. Photos are not uploaded to the cloud for search.
- Internet use is minimal: mainly optional GPS-to-place lookup the first time a location appears.
- No subscription lock-in: your library stays yours.
Searches That Sound Hard — Done in a Snap
Real moments, real queries. See exactly how Pitara handles searches that would stump anything else.
Scenario 1
First Day of School — Both Kids, Every Year
“School starts the first week of September. I’ve taken a photo every single year on the front steps before drop-off. I want all of them — from both kids, going back 30 years.”
Pitara Query
FirstWeek september weekday morning from 30 years
What each part does
FirstWeek
Days 1–7 of the month only
september
September photos only
weekday
Monday – Friday (school days)
morning
Taken between 6 am and noon
from 30 years
Expands to 1996 – 2026 automatically
Scenario 2
My Son’s Birthday — 25 Years of February 12th
“He’s grown up so fast. I want every photo taken on February 12th going back 25 years — evening shots especially, because that’s when we always had the cake.”
Pitara Query
from 25 years 12th february evening
What each part does
from 25 years
Expands to 2001 – 2026 automatically
12th february
Photos taken on February 12th
evening
Taken between 5 pm and 8 pm
Want morning AND evening? Drop the time filter:
from 25 years 12th february — you’ll get every photo taken on that date, morning through night.
Scenario 3
Gym Selfies — Monday & Wednesday Evenings in Redmond
“I go to the gym every Monday and Wednesday evening in Redmond. I’ve been going for 10 years and I know there are selfies in there. I want them all.”
Pitara Query — both days in one search (OR operator)
from 10 years redmond evening (monday or wednesday)
What each part does
from 10 years
Expands to 2016 – 2026 automatically
redmond
Photos geotagged in Redmond
evening
Taken between 5 pm and 8 pm
(monday or wednesday)
Either day — no Tuesday leakage
OR operator: Wrapping two day names in parentheses with or tells Pitara to match either day — no range, no unwanted days in between. Use this whenever you want non-consecutive days in a single search.
Prefer to keep it simple? Skip the OR syntax and run two separate searches instead — one for each day:
from 10 years redmond evening mondayfrom 10 years redmond evening wednesday
Scenario 4
That Cool Shot From My Lunch Walk — Fall 2025
“Last fall I started taking a walk around the office block during lunch on workdays. I snapped something good — bright light, nice shadows. It was around 12–2 pm. I need to find it.”
Pitara Query
fall 2025 weekday noon afternoon
What each part does
fall
Season: Sep 18 – Dec 20
2025
Last fall = autumn 2025
weekday
Monday – Friday (work days only)
noon
Photos taken at exactly 12:00 pm
afternoon
Photos taken between 1 pm and 5 pm
How noon and afternoon work together: noon covers 12:00 pm exactly, and afternoon covers 12:01 pm through 4:59 pm. Using both catches every shot in the 12–5 pm window.
Know the location? Add it:
fall 2025 weekday noon afternoon redmond — a location keyword narrows it down fast.