WebP to BMP Converter

Convert modern WebP images to uncompressed BMP format with transparency handling and maximum quality preservation.

🎯 Free Conversion Limits

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File Size: Up to 5MB
Conservative limit due to BMP expansion
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Batch Size: 3 files at once
Process multiple images carefully
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Conversions: Unlimited
Convert as many files as you need
💡 Lower limits ensure reliable processing as BMP files are 10-20x larger than WebP
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Drop your WebP files here
or click to browse (Max 5MB per file, 3 files at once)

Why Choose Our WebP to BMP Converter?

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Smart Transparency Handling

Automatically converts WebP transparency to white background since BMP doesn't support transparency. Clean, professional results every time.

Uncompressed Quality

Convert to uncompressed BMP format for maximum quality preservation. Perfect for editing, printing, or legacy software compatibility.

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Legacy Compatibility

Convert modern WebP to BMP format that works with older software, printers, and systems that don't support WebP.

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100% Secure

All conversions happen locally in your browser. Your WebP files never leave your device.

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Completely Free

No registration, no watermarks, no limits. Convert as many WebP files as you need.

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Conservative Processing

Careful batch limits ensure reliable processing since BMP files are 10-20x larger than WebP files.

WebP to BMP: Decompressing Modern Web Format into Zero-Complexity Legacy Bitmaps

Converting WebP to BMP reverses Google's 2010 web compression innovation (VP8/VP8L codec achieving 26-50% smaller files than PNG/JPEG) into the simplest possible uncompressed bitmap format—raw RGB pixel data (3 bytes per pixel, BGR byte order, zero computational decoding) compatible with every Windows system since 3.0 (1990), DOS graphics applications from 1987, and embedded displays lacking VP8 hardware acceleration. While you sacrifice WebP's compression efficiency (file sizes explode 10-35x: 850KB WebP → 12-30MB BMP), you gain absolute decode simplicity eliminating all decompression overhead, guaranteed compatibility with legacy industrial control systems, and direct memory-mapped rendering for real-time machine vision applications.

BMP's uncompressed 24-bit RGB structure provides zero-latency pixel access—operating systems can memory-map BMP files directly to display buffers without intermediate processing, achieving 8-12ms load times versus 85-150ms for WebP VP8 decompression on low-power embedded CPUs. WebP-to-BMP conversion is the strategic choice for legacy hardware economic necessity—when industrial HMI panels (2000-2010 vintage) lack WebP decode capability requiring $875K replacement versus $5K BMP conversion workflow, when embedded kiosks (ARM Cortex-A5 400MHz, 256MB RAM) take 15-25 seconds decompressing WebP but render BMP instantly via DMA, or when Windows 95/98/XP systems (still operating $12M+ annual business-critical applications) fail to display WebP without codec updates impossible on frozen legacy systems. BMP eliminates WebP's modern dependencies while providing the universal legacy compatibility essential for long-lived industrial equipment.

When WebP-to-BMP Conversion Preserves Legacy Hardware Investments:

1. Embedded Retail Kiosks & Underpowered ARM Processors (90% Faster Load Times)

Problem: A retail chain operates 1,200 in-store product information kiosks (2008-2014 vintage, ARM Cortex-A5 single-core 400MHz, 256MB RAM, resistive touchscreens) displaying product catalogs, store maps, and promotional imagery. The marketing department delivers updated imagery as modern WebP files (850KB-2.5MB each at 1024×768 resolution, 30-45% smaller than equivalent PNG for bandwidth savings), but the kiosks' underpowered CPUs catastrophically choke on WebP decompression—decoding VP8 bitstream takes 15-25 seconds per image (ARM Cortex-A5 lacks NEON SIMD instructions, forcing scalar VP8 decode), creating frustratingly slow user experiences where customers abandon kiosk interaction after 5-8 second load delays (78% abandonment rate measured via analytics). With 450,000 monthly kiosk interactions, the slow WebP performance costs 351,000 lost interactions worth $1.05M-$1.75M in missed sales conversion opportunity (3-5% of interactions convert to purchases at $100-150 average basket).

Solution: Converting product imagery from WebP to BMP reduces image load time to 0.8-1.5 seconds (90% faster)—the kiosk's ARM processor memory-maps BMP files and DMA transfers directly to the display framebuffer without CPU-intensive VP8 decompression, providing responsive UI maintaining customer engagement. The improved experience reduces kiosk abandonment from 78% to 18-22% (typical for responsive retail interfaces, where remaining abandonment reflects deliberation time), recovering 252,000-270,000 monthly interactions worth $756K-$1.35M in sales conversion opportunity (3-5% conversion × $100-150 basket). The 10-25x larger BMP files (850KB WebP → 9-20MB BMP at 1024×768) consume local kiosk flash storage (2,000 product images × 14MB average = 28GB per kiosk, well within 64GB flash capacity), avoiding monthly bandwidth costs (kiosks download image updates once weekly via overnight batch, bandwidth impact minimal). The BMP conversion defers $13.2M-$22.8M capital expenditure to replace 1,200 functional kiosks with modern hardware ($11K-$19K per unit) just to achieve acceptable WebP decode performance, extending equipment useful life by 3-5 years until scheduled replacement.

2. Industrial HMI Control Panels & SCADA Systems ($875K Equipment Replacement Avoidance)

Problem: A manufacturing facility operates 45 Human-Machine Interface (HMI) control panels (Siemens Simatic HMI from 2005-2010, Windows CE 6.0 embedded OS, 800×480 touchscreens) managing production line machinery, displaying process diagrams, sensor overlays, and alarm condition graphics. The engineering team modernizes visual assets as WebP (reducing 5MB PNG diagrams → 1.2MB WebP for faster VPN-over-cellular updates to remote facilities), but the Windows CE 6.0 operating system completely lacks WebP codec support—Microsoft abandoned Windows CE development in 2013 before WebP achieved Windows integration (introduced Windows 10/2015), leaving legacy HMI panels unable to display WebP images via standard GDI rendering calls. Installing third-party WebP codecs requires OS kernel modifications violating industrial system validation (UL 508A, NFPA 79 certification), risking $50K-$150K recertification costs per modified panel. Replacing 45 HMI panels with modern hardware costs $875K ($18K-$22K per Siemens Comfort Panel 7" with WebP support), disrupting production for 180-240 hours ($540K-$720K opportunity cost at $3,000/hour line operating cost).

Solution: Converting engineering diagrams from WebP to BMP ensures 100% Windows CE GDI compatibility—BMP format has been natively supported since Windows 3.0 (1990), requiring zero codec installation or OS modifications, preserving industrial certifications. The HMI applications call standard BitBlt() GDI functions to render BMP images without changes to validated control software. The 4-5x file size increase (1.2MB WebP → 5MB BMP typical for 800×480 process diagrams) fits within HMI flash storage limits (2GB CompactFlash typical, storing 300-400 BMP diagrams comfortably), and VPN update bandwidth impact is manageable (5MB × 300 diagrams × 45 panels = 67.5GB one-time transfer, $6.75-$13.50 at $0.10-$0.20/GB cellular data, versus $875K replacement cost). The BMP conversion avoids the $875K capital expenditure entirely, deferring panel replacement until the facility's scheduled 2028-2030 production line modernization when all control systems undergo coordinated upgrade. Maintenance costs remain unchanged (BMP and WebP require identical storage/backup), while the $540K-$720K production disruption is eliminated entirely (zero downtime for format conversion versus 180-240 hours replacing physical panels).

3. Windows 95/98/XP Legacy Business Applications ($12M Annual Revenue Protection)

Problem: An insurance company operates a mission-critical claims processing application built in Visual Basic 6.0 (1998 development, Windows 98/XP deployment) handling 50,000 daily claims worth $12M annual premium processing. The application displays claimant photos, damage documentation, and signature verification images embedded in claim forms, historically using BMP/JPG formats. IT modernization projects converted image libraries to WebP (reducing 2TB image archive → 450GB, saving $155-$465/month storage at $0.10-$0.30/GB), but the VB6 application's image controls (PictureBox, Image) completely fail to render WebP—Windows 95/98/XP lack native WebP codec support (introduced Windows 10/2015), and installing third-party codecs breaks application compatibility (VB6 depends on specific GDI+ library versions, codec updates cause runtime errors crashing claims processing). Rewriting the VB6 application in modern .NET would cost $850K-$1.5M (12-18 months development, 8,000 code hours at $100-125/hour fully-loaded developer cost), plus 6-12 months user retraining ($250K-$500K), risking business disruption during the critical Q4 claims season generating 40% of annual revenue.

Solution: Converting the 450GB WebP image library back to BMP ensures 100% VB6 PictureBox compatibility—Windows 95/98/XP support BMP natively via GDI (available since Windows 3.0/1990), requiring zero application code changes or codec installations. The VB6 application continues operating unchanged, processing 50,000 daily claims without disruption. The 4-5x storage increase (450GB WebP → 2TB BMP) restores previous storage costs ($200-$600/month at $0.10-$0.30/GB), but avoids the $850K-$1.5M rewrite investment and eliminates business risk from Q4 disruption (protecting $4.8M Q4 revenue, 40% of $12M annual). The company schedules VB6 modernization for 2026-2027 (after legacy mainframe migration completes, consolidating IT transformation projects), deferring the rewrite 2-3 years while maintaining full claims processing capability. Total value: capital deferral ($850K-$1.5M) + risk avoidance ($4.8M Q4 revenue protection) + operational continuity (50,000 daily claims uninterrupted) versus storage cost increase ($2.5K-$7.5K annually), providing 340-600x ROI on the BMP conversion effort (120 hours systems administrator time = $6K at $50/hour).

4. Medical Device Embedded Displays & FDA-Validated Systems (Zero Recertification Risk)

Problem: A medical device manufacturer produces 800 annual patient monitoring systems (ICU bedside displays, surgical navigation screens, diagnostic imaging viewers) with embedded touchscreens running custom firmware displaying physiological waveforms, organ imagery, and procedural guidance overlays. The engineering team adopts WebP for updated UI graphics (reducing firmware image size from 120MB → 45MB, enabling over-the-air updates via hospital WiFi instead of requiring USB drive service calls), but FDA 510(k) clearance explicitly validated the device with BMP/JPG image formats only—introducing WebP decoding constitutes a "software change requiring new submission" per FDA guidance, triggering $500K-$2M recertification costs (510(k) submission, clinical validation testing, technical documentation) and 8-18 month approval delays. With 800 units deployed generating $24M annual recurring revenue (service contracts, consumables), the WebP format change risks extended market absence during recertification, costing $16M-$36M opportunity cost (8-18 months × $2M monthly revenue).

Solution: Converting updated UI graphics from WebP back to BMP maintains FDA clearance under existing 510(k)—changing image content (new icons, updated layouts) is permitted without resubmission as long as file formats remain unchanged per original validation. The device firmware's BMP rendering code (direct memory-mapped framebuffer access, zero decompression) operates identically, requiring no software modifications and preserving validated state. The 2.5-3x firmware size increase (45MB WebP → 120MB BMP) fits within device flash storage (256MB typical), and over-the-air update capability remains viable (120MB firmware × 800 devices = 96GB bandwidth, $96-$288 at $1-$3/GB cellular IoT data, far less than $500K-$2M recertification). The BMP conversion avoids the $500K-$2M FDA resubmission cost entirely and eliminates $16M-$36M market absence opportunity cost, enabling continuous product improvement (quarterly UI updates) while maintaining regulatory compliance. The manufacturer schedules WebP integration for the next major device revision (2026-2027, new 510(k) required anyway for hardware changes), deferring format modernization until natural recertification cycle.

5. Real-Time Machine Vision & Millisecond-Critical Inspection (85-95% Decode Latency Elimination)

Problem: An automotive parts manufacturer operates 35 machine vision inspection stations (Cognex In-Sight cameras, 2010-2016 hardware) capturing 8,000 hourly product images at 450ms cycle time for real-time defect detection (dimensional tolerance verification, surface finish inspection, barcode validation). The quality engineering team modernizes reference image libraries to WebP (reducing 12GB reference set → 2.8GB, enabling faster network distribution to 35 stations), but the VP8 decompression latency catastrophically breaks real-time inspection requirements—Cognex In-Sight vision processors (ARM9 300-600MHz, no hardware VP8 acceleration) take 180-250ms decoding WebP reference images versus <15ms for BMP memory-mapped access, exceeding the 50ms analysis budget per 450ms cycle. The VP8 decode overhead causes inspection queue backlog, forcing production line throttling (1 slowdown per 80 cycles to let inspection catch up = 100 slowdowns per hour, costing 8 seconds each = 800 seconds = 13.3 minutes hourly downtime worth $665/hour at $3,000/hour line operating cost, $15,960 daily).

Solution: Converting reference imagery from WebP to BMP eliminates 85-95% of decode latency (180-250ms → 10-15ms)—Cognex vision processors memory-map BMP files directly into inspection algorithms without VP8 decompression, bringing image comparison comfortably within the 50ms real-time constraint. The inspection pipeline maintains 450ms cycle time without throttling, supporting 8,000 hourly throughput (full production capacity). The 4-5x larger reference library (2.8GB WebP → 12GB BMP) fits within Cognex CompactFlash storage (16-32GB typical across 35 stations), and one-time network distribution (12GB × 35 stations = 420GB) completes overnight via Gigabit Ethernet ($0 bandwidth cost on factory LAN). Production efficiency improves dramatically: eliminating 100 hourly slowdowns recovers 13.3 minutes per hour = 3.2 hours daily = 800 hours annually worth $2.4M ($3,000/hour × 800 hours). The BMP conversion costs minimal systems engineering time (80 hours converting reference libraries = $4K at $50/hour), providing 600x ROI ($2.4M annual throughput recovery ÷ $4K conversion cost) while avoiding $525K-$1.05M capital investment in faster Cognex vision processors (35 stations × $15K-$30K upgrade cost per station).

How WebP-to-BMP Conversion Works (5 Technical Steps):

Step Process Technical Details
1. WebP Decode Decompress VP8/VP8L bitstream Lossy WebP uses VP8 video codec (4×4 macroblocks, DCT transform), lossless uses VP8L (DEFLATE-style LZ77 + Huffman + predictor). Decoder outputs RGB(A) pixels. CPU-intensive on legacy hardware without SIMD/hardware acceleration.
2. Transparency Removal Composite alpha over white BMP has no alpha channel—WebP transparency (8-bit alpha) composited over white background (255,255,255) using standard over operator (pixel = alpha×fg + (1-alpha)×white). Ensures opaque BMP output.
3. RGB to BGR Reorder Convert pixel byte order WebP stores RGB, BMP requires BGR (Intel little-endian heritage). Swap R and B channels for each pixel. Simple byte reordering, no computational complexity.
4. Row Padding Align scanlines to 4-byte boundaries BMP rows must be multiple of 4 bytes (DWORD alignment for efficient memory access). Width × 3 bytes/pixel rounded up to multiple of 4. Padding bytes (0x00) added to end of each scanline. Enables direct DMA/memory-mapped rendering.
5. BMP Creation Write uncompressed bitmap 14-byte BITMAPFILEHEADER (BM signature, file size), 40-byte BITMAPINFOHEADER (dimensions, 24-bit RGB, BI_RGB uncompressed), raw BGR pixel data. Zero compression overhead—instant rendering via memory-mapping.

WebP vs. BMP: Modern Compression vs. Legacy Simplicity

Characteristic WebP (Modern) BMP (Legacy)
Decode Latency High (85-250ms VP8 decode on ARM Cortex-A5 400MHz, no hardware acceleration) Minimal (8-15ms memory-mapped access, DMA direct to framebuffer, zero CPU overhead)
File Size Efficiency 26-50% smaller than PNG/JPEG (VP8/VP8L compression, 2010 video codec technology) Baseline uncompressed (width × height × 3 bytes + 54-byte header + row padding)
Legacy OS Support Windows 10+/2015, requires codec installation on XP/7/8 (not possible on frozen/validated systems) Windows 3.0+/1990, DOS VESA graphics, 100% native support without codecs
Typical File Size 850KB-2.5MB (1024×768 photo, VP8 lossy at 90% quality) 2.3MB (1024×768 uncompressed: 1024×768×3=2.36MB + headers/padding)
FDA/Industrial Validation New format (2010), triggers recertification ($500K-$2M FDA 510(k), 8-18 months) Established format (1987), included in original validations, no recertification
Real-Time Vision Suitability Poor (180-250ms decode exceeds 50ms real-time budget, causes production throttling) Excellent (10-15ms memory-mapped access within budget, supports 8,000 hourly throughput)
Best Use Case Modern web delivery, bandwidth-constrained distribution (storage/bandwidth priority) Legacy hardware, embedded systems, real-time inspection (decode speed/compatibility priority)

⚠ Zero-Complexity Legacy Advantages (Compatibility Over Efficiency):

  • 90% Decode Latency Reduction (15-25s → 0.8-1.5s): BMP memory-mapping eliminates VP8 CPU-intensive decompression—retail kiosks on ARM Cortex-A5 400MHz render instantly, recovering 252K-270K monthly interactions worth $756K-$1.35M, deferring $13.2M-$22.8M equipment replacement (1,200 kiosks × $11K-$19K each).
  • 100% Windows CE/95/98/XP Native Compatibility: BMP supported since Windows 3.0 (1990) without codec installations—preserves industrial HMI certifications ($875K replacement avoidance), maintains VB6 business applications ($12M annual revenue protection, $850K-$1.5M rewrite deferral), requires zero OS modifications on frozen legacy systems.
  • FDA Validation Preservation (Zero Recertification): BMP included in original 510(k) medical device clearances—avoids $500K-$2M resubmission costs and $16M-$36M market absence opportunity cost (8-18 months approval delay), enables continuous product improvement under existing regulatory clearance.
  • 85-95% Machine Vision Latency Elimination: Real-time inspection systems memory-map BMP (10-15ms) versus VP8 decode (180-250ms)—maintains 450ms cycle time supporting 8,000 hourly throughput, eliminates 100 hourly production throttles recovering $2.4M annual line operating value, avoids $525K-$1.05M vision processor upgrades (35 stations × $15K-$30K each).
  • Economic Lock-In Capital Preservation: BMP conversion extends legacy equipment useful life 3-5 years—$875K HMI panels, $13.2M-$22.8M kiosk fleet, $850K-$1.5M VB6 rewrite, $500K-$2M FDA recertification all deferred until natural replacement cycles, providing 340-600x ROI ($2.4M+ annual value ÷ $4K-$6K conversion effort).

Frequently Asked Questions

Why convert WebP to BMP when WebP is more efficient and modern?

While WebP offers 26-50% better compression via VP8/VP8L codecs, BMP provides zero-decode-latency compatibility essential for legacy hardware, embedded systems, and real-time inspection. Convert to BMP when decode speed and legacy OS support exceed storage efficiency—such as retail kiosks (ARM Cortex-A5 takes 15-25s decoding WebP vs 0.8-1.5s BMP, recovering $756K-$1.35M monthly, deferring $13.2M-$22.8M replacement), industrial HMI panels (Windows CE lacks WebP support, $875K replacement avoidance), VB6 legacy applications (Windows 95/98/XP native BMP support, $12M revenue protection), FDA-validated medical devices ($500K-$2M recertification avoidance), or machine vision (85-95% latency reduction, $2.4M annual throughput recovery). Accept 10-35x larger files to preserve legacy equipment investments.

What happens to WebP transparency when converting to BMP?

BMP doesn't support transparency (no alpha channel in standard 24-bit BMP), so any transparent areas in your WebP images are automatically composited over a white background (RGB 255,255,255) during conversion using the standard "over" blending operator. This ensures clean, professional opaque BMP output compatible with all legacy systems. If transparency preservation is critical, consider PNG instead—but recognize that legacy Windows CE, Windows 95/98, and embedded systems often lack PNG alpha channel support as well, whereas BMP's opaque rendering works universally since 1990.

How much larger will BMP files be compared to WebP?

BMP files are typically 10-35x larger than WebP due to zero compression. Examples: 850KB WebP → 9MB BMP (1024×768, 10.6x larger), 2.5MB WebP → 30MB BMP (1920×1200, 12x larger), 450KB WebP → 6MB BMP (800×600, 13.3x larger). This storage cost is the tradeoff for decode simplicity—but legacy hardware benefits justify it: $756K-$1.35M monthly kiosk revenue recovery, $875K HMI replacement avoidance, $2.4M annual machine vision throughput preservation. Calculate: uncompressed BMP size = width × height × 3 bytes + 54 bytes header + row padding (typically adds 5-10% overhead). For a 1024×768 image: 1024×768×3 = 2,359,296 bytes = 2.25MB minimum BMP size versus 850KB typical WebP.

Why do legacy systems fail to decode WebP but handle BMP perfectly?

WebP (introduced 2010) requires VP8/VP8L codec support added in Windows 10 (2015), unavailable in Windows 95/98/XP/7/8/CE without third-party codec installation—impossible on frozen/validated industrial systems. WebP decode is also CPU-intensive (180-250ms on ARM Cortex-A5 400MHz without NEON SIMD), exceeding real-time budgets. BMP (standardized 1987, Windows 3.0 support from 1990) is natively supported by every Windows GDI implementation, DOS VESA graphics, and embedded framebuffer controllers without codecs. BMP's uncompressed structure enables memory-mapped rendering (8-15ms)—OS maps file directly to display buffer via DMA, zero CPU decompression overhead. This fundamental simplicity makes BMP universally compatible across 35+ years of computing hardware evolution.

Does converting WebP to BMP affect image quality?

No quality loss occurs—BMP is uncompressed, so it preserves the WebP-decoded pixels exactly without additional compression artifacts. If your source WebP was lossy-compressed, the BMP maintains those VP8 compression artifacts (they're "baked in" to the decoded pixels), but adds no new degradation. If your source was lossless WebP (VP8L), the BMP is mathematically identical to the original. In fact, BMP provides perfect pixel-exact preservation, which is why professional image editing workflows prefer BMP/TIFF for intermediate processing—every pixel value is preserved exactly through save/load cycles. The only "loss" is metadata (WebP EXIF/XMP stripped to BMP's minimal header), and transparency (alpha channel composited over white background).

Can BMP files be used in FDA-validated medical device systems without recertification?

Yes—if the original FDA 510(k) clearance validated the device with BMP image format support (common for 2000-2015 era devices), updating image content (new icons, layouts, procedural guidance graphics) delivered as BMP files does not trigger recertification requirements per FDA guidance on software changes. The file format and rendering code remain unchanged from the validated configuration. However, introducing WebP (a format not in the original clearance) would constitute a "software change" requiring new 510(k) submission ($500K-$2M cost, 8-18 months approval delay) because it necessitates adding VP8 decoder code not present in the validated software baseline. Converting WebP → BMP preserves regulatory compliance, enabling continuous product improvement without triggering expensive recertification cycles.

Why is BMP decode 85-95% faster than WebP on embedded ARM processors?

WebP's VP8/VP8L codecs are computationally intensive, requiring: (1) Huffman decoding (bit-level parsing), (2) inverse DCT transforms (lossy VP8) or predictor application (lossless VP8L), (3) loop filtering, (4) color space conversion. On ARM Cortex-A5 400MHz without NEON SIMD instructions, this takes 180-250ms for a 1024×768 image (scalar floating-point math, no hardware acceleration). BMP requires zero decompression—the OS simply: (1) reads 54-byte header, (2) memory-maps pixel data region directly to display framebuffer, (3) DMA transfers BGR data to screen. Total time: 8-15ms (file I/O + DMA setup, zero CPU processing). This 12-25x speed advantage (180ms → 12ms) is why legacy embedded systems, real-time machine vision, and underpowered kiosks require BMP—WebP decode latency exceeds their performance budgets by 3-15x.

Are there any file size limits for WebP to BMP conversion?

Yes, we use conservative limits: WebP files up to 5MB input, 3 files at once. These limits exist because BMP files are 10-35x larger than WebP—a 5MB WebP might become 60-150MB uncompressed BMP, approaching browser memory limits. For typical images: 1024×768 WebP (850KB) → 2.3MB BMP, 1920×1080 WebP (1.8MB) → 6.2MB BMP, both well within safe processing range. If you have larger WebP files (common for high-resolution photography, >2000×3000 pixels), consider: (1) batch processing in smaller groups, (2) server-side conversion (ImageMagick, GIMP handle gigabyte files with sufficient RAM), (3) evaluating whether BMP is necessary (perhaps TIFF uncompressed or PNG provides better legacy compatibility with smaller size). The 5MB limit balances browser stability with capability—covers 95% of legacy hardware use cases where BMP compatibility solves critical decode latency or OS support issues.