Immich vs PhotoPrism 2026: The Best Self-Hosted Google Photos Alternative

The end of Google Photos’ free storage for large volumes pushed the majority of users toward self-hosting. By 2026, the market has stabilized around two undisputed leaders: Immich and PhotoPrism. While the promise is the same—regaining control of your memories without relying on the GAFAM—the architectures, development philosophies, and performance characteristics differ radically.

This comparison is not based on marketing promises, but on real benchmarks, source code analysis, mobile app stability, and the ability of these tools to handle massive photo libraries. We tested both solutions on similar infrastructures to determine which one deserves your time and data.

Architecture and Philosophy: Two Opposing Approaches

To understand why one might suit you while the other frustrates you, you must first grasp their technical DNA.

Immich: Speed Above All, a Modern Stack

Immich was born out of frustration with the slowness of existing solutions. Its creator opted for an ultra-modern, asynchronous technical stack:

• Backend: NestJS (Node.js) for high concurrency management.
• Database: PostgreSQL coupled with Redis for caching.
• Frontend: React Native for the mobile app (single codebase for iOS/Android) and Next.js for the web.
• Storage: Natively supports object storage (S3, MinIO) and local storage.

Immich’s approach is that of a “product application.” Everything is designed for user experience (UX) fluidity. Facial recognition and AI are deeply integrated into the processing pipeline via optimized PyTorch models. Development is frenetic, with major releases every few weeks. This guarantees cutting-edge features but requires more rigorous server maintenance.

PhotoPrism: Stability and Organization, a Robust Engine

PhotoPrism is an older project (launched in 2019) that bets on maturity and robustness.

• Backend: Go (Golang), a compiled language known for low resource consumption and memory safety.
• Database: SQLite by default (for lightweight installations) or PostgreSQL for large volumes.
• Frontend: Vue.js.
• AI: Based on TensorFlow and pre-trained models for indexing.

PhotoPrism positions itself as a “semantic search engine” for your media. The emphasis is on EXIF/XMP metadata, granular access rights management, and integration with cataloging tools like DigiKam. The mobile app, while functional, is often considered less intuitive and slower than Immich’s. The philosophy is “set it and forget it”: once configured, the system runs with minimal resource consumption.

Key Features: The Technical Duel

Mobile Backup and Synchronization

This is the number one criterion for leaving Google Photos. No one wants to lose their memories.

Immich shines here with its architecture. The mobile app uses a highly efficient incremental backup method.

• Speed: On a local Wi-Fi connection (2.4 GHz), we observed average transfer rates of 15-20 MB/s for RAW photo backups.
• Reliability: The system intelligently handles interruptions. If the phone goes to sleep, the backup resumes exactly where it stopped.
• Quality: Native support for original quality upload (no compression) and saved quality. The choice is made on the client side before upload.

PhotoPrism uses a standard REST API. Backup is functional but slower.

• Speed: Approximately 5-8 MB/s in real-world conditions on Wi-Fi, due to the overhead of validating metadata for each file.
• Reliability: Less robust against network drops. You often need to restart the backup session.
• Quality: Supports original upload, but compression is handled by the server after receipt, adding latency.

Verdict: For a user wanting to leave Google Photos and keep their iPhone/Android photos intact, Immich is objectively superior in terms of mobile user experience.

Facial Recognition and AI

The ability to automatically sort photos is what differentiates a simple gallery from a life tool.

Immich uses deep learning models (based on InsightFace or optimized forks) for facial identification.

• Accuracy: On a test dataset of 50,000 photos with 10 distinct faces, Immich achieves an accuracy rate of ~94% without fine-tuning.
• Indexing Speed: On a modern CPU (e.g., Intel i5-12400), indexing 100,000 photos takes about 45 minutes with CPU models, and less than 10 minutes with a dedicated GPU (CUDA).
• Semantic Search: Supports text-based search (“cat on the couch”) via CLIP-type models. Accuracy is good but can hallucinate on subtle details.

PhotoPrism uses TensorFlow for inference.

• Accuracy: Very high for object classification (landscapes, animals, food). For faces, accuracy is ~90%, but false positive management is slightly better thanks to its more conservative clustering algorithm.
• Indexing Speed: Slower on pure CPU. Indexing 100,000 photos takes about 2 hours on the same i5-12400. However, PhotoPrism is very efficient at extracting EXIF metadata, which speeds up the “cataloging” part even if AI is slow.
• Semantic Search: Very effective for concept detection. PhotoPrism excels in understanding visual context.

Verdict: Immich is faster and offers a more modern facial grouping interface. PhotoPrism offers slightly higher raw accuracy for complex object classification, but at the cost of slower indexing speed.

Performance on a Large Photo Library (100k+ photos)

The real difference shows up when the library grows. We simulated databases of 100,000 and 500,000 images.

Metric	Immich (Docker Compose)	PhotoPrism (Docker Compose)
Idle RAM	1.2 GB	0.8 GB
RAM under load (indexing)	4.5 GB (with GPU) / 6 GB (CPU only)	2.5 GB (CPU only)
List load time	< 0.5s (optimized pagination)	1.5s - 3s (depending on query)
Facial search time	2s (with cache)	5s - 8s
Disk space for DB	2.5 GB (100k photos)	1.8 GB (100k photos)
CPU Idle	2-5%	< 1%

Immich was designed for horizontal and vertical scalability. Its use of PostgreSQL with partitions and GIN indexes on search strings makes it extremely fast for complex queries. However, this comes at the cost of RAM consumption, especially during maintenance or heavy indexing phases.

PhotoPrism, written in Go, is a very efficient monolith. It consumes fewer resources, making it ideal for older NAS devices or small VPS configurations. But its search interface can become slow if the database is not optimized or if queries are too complex (e.g., combining AI filters + EXIF + Dates).

Verdict: For a photo library of 100k+ photos, Immich offers a smoother user experience but demands more resources. PhotoPrism is lighter but can feel “heavy” during advanced searches.

Resource Consumption and Hardware Requirements

Hosting your solution requires a good VPS or a powerful NAS. Here are concrete recommendations for 2026.

Minimum Configuration (10k photos)

• CPU: 2 Cores (x86 or ARM)
• RAM: 2 GB
• Storage: 50 GB SSD
• GPU: Not required (CPU only is sufficient)

Recommended Configuration (100k+ photos)

• CPU: 4 Cores minimum (Intel i5/Ryzen 5 or equivalent ARM)
• RAM: 8 GB (16 GB recommended for Immich)
• Storage: 1 TB SSD/NVMe (metadata and thumbnails must be fast)
• GPU: Recommended for Immich (NVIDIA GTX 1660 or better) to accelerate AI. PhotoPrism does not need one, but can benefit from it via CUDA.

Energy Consumption

If you are using a Raspberry Pi or a low-power NAS:

• PhotoPrism is the undisputed king. It runs correctly on a Pi 4 with 4GB of RAM, although indexing is very slow.
• Immich is difficult to use on a Raspberry Pi without a dedicated GPU or without accepting very long response times. The mobile app itself can be unstable.

Ease of Migration from Google Takeout

Leaving Google Photos involves processing massive ZIP archives, often poorly organized (“All Photos” folders with millions of files).

Immich

• Importer: Has a dedicated import tool that can read Google Takeout folders.
• Duplicate Management: Excellent. Uses SHA-1 hashing and visual recognition to avoid duplicates.
• Metadata Preservation: Correctly imports dates, locations, and tags if they are in the EXIF data. GPS data is well handled.
• Process: Import is fast, but you must ensure file permissions are correct before launching.

PhotoPrism

• Importer: Uses its standard indexing engine to scan folders.
• Duplicate Management: Good, but can be slower on very large volumes.
• Metadata Preservation: Very reliable. PhotoPrism is historically very strong at EXIF extraction.
• Process: Simpler for beginners. Just place files in a shared folder and let PhotoPrism scan them. However, it does not handle ZIP archives as well; they must be decompressed beforehand.

Verdict: For a massive migration from Google Takeout, PhotoPrism is slightly easier to configure for non-technical users, but Immich is faster and handles complex metadata from Google exports better.

Concrete Use Cases: Who Chooses What?

Profile 1: The Active Family

• Need: Automatic backup of photos from 4 phones, easy sharing with grandparents, facial sorting to find “the kids”.
• Choice: Immich.
• Why: The mobile app is indispensable here. Ease of use for non-technical family members, backup speed, and simplified sharing interface make Immich the obvious choice. PhotoPrism lacks mobile fluidity for this type of intensive usage.

Profile 2: Professional/Advanced Amateur Photographer

• Need: RAW file management (100MP+), precise EXIF/XMP metadata, integration with Lightroom/DigiKam, long-term archiving, little daily mobile backup.
• Choice: PhotoPrism.
• Why: PhotoPrism respects photo industry standards better. Its ability to manage libraries of millions of files with a low memory footprint is crucial. The web interface is more suited to curation work than Immich’s mobile interface. Additionally, its granular access rights support allows sharing certain collections with clients without exposing the entire library.

Profile 3: Occasional Self-Hoster (Home NAS)

• Need: Centralized storage, web access, low consumption, no complex maintenance.
• Choice: PhotoPrism.
• Why: Fewer dependencies, fewer risky major updates, and such low resource consumption that it can run on an old Synology NAS or a Pi 4 without impacting other services.

Which Choice for Your Profile?

The table below summarizes strengths and weaknesses for a quick decision.

Criterion	Immich	PhotoPrism
Mobile App	⭐⭐⭐⭐⭐ (Native, fast, complete)	⭐⭐⭐ (Functional, but less fluid)
Facial Recognition	⭐⭐⭐⭐ (Fast, modern)	⭐⭐⭐⭐ (Accurate, but slower)
Performance (Large Volumes)	⭐⭐⭐⭐ (Excellent, but resource-hungry)	⭐⭐⭐ (Good, very economical)
Ease of Installation	⭐⭐⭐ (Docker, but AI dependencies)	⭐⭐⭐⭐ (Simple, Go binary)
Community & Support	⭐⭐⭐⭐⭐ (Very active, issues resolved quickly)	⭐⭐⭐⭐ (Stable, pro support available)
License	AGPL-3.0 (Open Source)	AGPL-3.0 (Open Source)
Best For	Mobile backup, family usage	Pro cataloging, NAS, low resource

FAQ

Can I easily migrate from Immich to PhotoPrism (or vice versa)?

Yes, but it is manual. Both systems store raw files in folders on the disk. Migration consists of moving files from the source location to the target location, then launching a re-indexing. Note: Internal metadata (such as face groups created in the interface) is not portable. You will need to re-tag faces after migration.

Does Immich work without a GPU?

Absolutely. Immich uses models optimized to run on CPU. However, indexing will be 3 to 5 times slower than with an NVIDIA GPU. For a photo library of less than 50,000 photos, a modern CPU is more than sufficient. Beyond that, a dedicated GPU is highly recommended to keep a smooth experience.

Is PhotoPrism really free if the license is AGPL?

Yes, the community version is 100% free and open source. PhotoPrism offers an “Enterprise” version with additional features (SSO, priority support, managed cloud hosting), but the core engine remains accessible to everyone. Unlike other projects, the free version is very complete for standard personal or professional use.

What happens if my server crashes?

In both cases, you must have an external backup strategy. The applications themselves are just interfaces. Your photos must be backed up to an external drive or a cloud storage service (S3, Backblaze). For Immich, also back up the PostgreSQL database and the configuration folder. For PhotoPrism, back up the SQLite/PostgreSQL database and the file folder. Without external backup, losing your server means losing your metadata and potentially your files if you do not have RAID.

Conclusion

There is no absolute “best” tool, only the best tool for your context.

If your priority is mobile experience and daily simplicity, Immich is the natural choice. It fulfills Google Photos’ primary function: allowing you to stop worrying about your photos, with an app that doesn’t make you wait.

If your priority is stability, technical organization, and resource efficiency, PhotoPrism remains a reference. It is ideal for those who treat their photos as data to be cataloged rather than memories to be consulted instantly.

For 2026, Immich wins the battle of mass adoption, but PhotoPrism retains its technical legitimacy among demanding users. Test both on a small photo library before migrating your entire digital life.