GITNUXSOFTWARE ADVICE
Video Games And ConsolesTop 10 Best Rc Plane Software of 2026
Top 10 rc plane software ranked by RC workflow needs, with tradeoffs and examples like XFLR5, Velocidrone, Liftoff for pilots.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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XFLR5 is the best pick if you want repeatable aerodynamic predictions from polars to guide RC control sizing, whereas ArduPilot fits teams that need MAVLink-connected fixed‑wing missions with parameterized, repeatable tuning workflows.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
XFLR5
Polar-driven stability and trim analysis runs on the same airframe geometry inputs across design iterations.
Built for fits when designers need repeatable aerodynamic predictions from polars to guide RC control sizing..
Velocidrone
Editor pickScenario-driven training missions that keep practice structured across different aircraft behaviors.
Built for fits when pilots need repeatable RC plane practice before hardware tuning validation..
Liftoff
Editor pickFlight practice workflows built around persistent aircraft model profiles, so tuning changes carry across repeated missions.
Built for fits when pilots need repeatable practice and consistent feel testing for new RC models..
Comparison Table
XFLR5
vertical specialistFree airfoil and wing analysis tool based on XFOIL, used by RC model designers to evaluate aerodynamic performance.
Polar-driven stability and trim analysis runs on the same airframe geometry inputs across design iterations.
XFLR5 targets airframe modeling, including wing and tail geometry setup, operating point selection across a speed range, and polar-based performance prediction for steady flight. Its core value is consistent data reuse across design iterations, since airfoil and polar selections feed the same computation pipeline for trim and stability outputs. The tool also supports importing measured or generated airfoil polars, which helps validate models against prior testing results.
A key tradeoff is that XFLR5 does not provide an integrated autopilot mission planner, telemetry downlink, or flight-controller configuration UI. Usage fits well when the goal is to quantify glide performance, trim behavior, and stability margins before binding servos to a mixer and before setting flight mode switch and failsafe logic. A practical situation is iterating V-tail or multi-surface layouts in the model, then applying the resulting control authority expectations when configuring rate and expo curves in the RC transmitter.
- +Reuses airfoil polars across wing, tail, and stability computations without rebuilding datasets
- +Models multi-surface layouts with flap and planform parameters for iterative design
- +Exports results that align with practical RC workflow planning for servo and control sizing
- +Supports importing polar inputs to compare predicted performance against measured data
- –Model setup can be time-consuming due to detailed geometry and input requirements
- –Provides no built-in mixer or servo travel editor for RC transmitter programming
- –Does not include live telemetry workflows or blackbox-driven tuning loops
RC airframe designers
Iterate wing planform before building
Faster design decision cycles
Tuning-focused model builders
Validate control authority expectations
Reduced trim surprises
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Modeling teams with documentation habits
Track design inputs across revisions
Cleaner iteration traceability
Keeps geometry and polar inputs consistent so comparisons reflect real design changes.
Best for: Fits when designers need repeatable aerodynamic predictions from polars to guide RC control sizing.
Velocidrone
vertical specialistMultiplayer RC flight simulator focused on drone and quadcopter racing with airplane support.
Scenario-driven training missions that keep practice structured across different aircraft behaviors.
Velocidrone supports a training loop built around quick session starts, repeatable practice runs, and scenario-based learning. The simulator’s aircraft modeling targets how RC planes respond to control inputs across different flight envelopes. That makes it a good match for pilots iterating on tuning choices like servo travel adjustment and throttle cut behavior before making changes on hardware.
A key tradeoff is that practice in Velocidrone does not directly validate firmware-specific failsafe behavior on a given receiver and link. It fits best when a pilot needs safe repetition for control technique and basic setup checks, then transitions to hardware verification for receiver channel mapping, arming behavior, and link-loss handling.
- +Repeatable practice sessions for control technique training
- +Scenario-based learning loops with aircraft behavior practice
- +Works well for pre-flight checks before hardware validation
- +Supports shared practice sessions for skill matching
- –Simulator setup does not certify real failsafe trigger outcomes
- –Hardware-specific receiver and transmitter quirks need separate verification
RC pilots practicing technique
Train acro-like control consistency
Fewer shaky control runs
Drone club instructors
Run group practice rotations
More flight minutes per meeting
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FPV RC plane hobbyists
Dry-run setup changes safely
Faster iteration cycles
Validate control feel and basic response changes before applying hardware adjustments.
Best for: Fits when pilots need repeatable RC plane practice before hardware tuning validation.
Liftoff
vertical specialistFPV drone simulator with community-created content and realistic physics.
Flight practice workflows built around persistent aircraft model profiles, so tuning changes carry across repeated missions.
Liftoff supports aircraft configuration management inside the simulator, including servo travel settings, control curves, and receiver channel mapping for virtual control surfaces. Mixer configuration and model-specific control behavior are handled as part of the model profile used during each flight session. The simulator also includes training-style missions and environment presets so pilots can compare changes across repeated runs. Hardware input is used to drive stick arming logic and flight mode switch behavior, which helps validate virtual link settings before real-world testing.
A key tradeoff is that Liftoff centers on simulator fidelity and workflow consistency, so it does not replace betaflight CLI style tuning or flight-controller parameter editing. It fits best for pilots iterating on control feel and expo curve settings, then validating those changes across multiple sessions. For teams, the most effective usage is standardizing a small set of model profiles so each pilot runs the same setup when learning rate mode versus acro mode transitions.
- +Model profiles capture mixer and control behavior for repeatable practice flights
- +Saved setups make iterative testing faster than ad hoc remapping each session
- +Stick inputs map cleanly to flight control behavior for training scenarios
- +Environment presets support consistent comparison across tuning changes
- –Simulator tuning workflows do not replace flight-controller parameter interfaces
- –High-fidelity tuning still depends on accurate starting model settings
RC pilots and hobbyists
Iterate control curves for new models
More consistent handling decisions
Training programs
Standardize instructor and student setups
Faster skill ramp
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Drone club moderators
Validate model configuration changes
Fewer real-world surprises
Tuning changes are checked via the same mixer configuration before pilots test hardware.
Best for: Fits when pilots need repeatable practice and consistent feel testing for new RC models.
RC Desk Pilot
vertical specialistOpen-source RC flight simulator for fixed-wing aircraft.
Airframe-scoped preflight automation that links checklists to specific channel mapping and mixer documentation sets.
RC Desk Pilot focuses on RC plane workflow tracking around build plans, channel wiring, and flight readiness checklists rather than live flight control. The app supports configuration documentation for mixer and receiver channel mapping tasks, and it organizes those artifacts around airframes and firmware targets.
RC Desk Pilot also adds operational automation for repeatable preflight steps and exportable records for troubleshooting and handoffs between pilots. The differentiator versus typical notes tools is the combination of airframe-centric structure with workflow automation that supports recurring tuning and maintenance cycles.
- +Airframe-first organization keeps channel and wiring details tied to one project
- +Repeatable preflight checklists reduce missed steps during frequent test sessions
- +Exportable build and tuning records support maintenance handoffs
- +Documented receiver channel mapping reduces ambiguity during revisions
- –No direct MAVLink integration means it cannot pull telemetry into the workflow
- –API surface and automation hooks are limited for CI-style configuration generation
- –Failsafe behavior documentation is manual and not validated against firmware
- –Versioning of configuration snapshots is coarse for rapid tuning iterations
Best for: Fits when RC pilots need structured build and preflight workflows with records that travel between airframes.
Aerofly RC
vertical specialistProfessional RC flight simulator with high-fidelity physics and photorealistic scenery.
A single saved aircraft setup drives both model layout and flight dynamics parameters inside the same RC workflow.
Aerofly RC is a desktop-focused RC plane planning and simulation workflow tied to real aircraft setup data. It provides a model editor for aircraft geometry and control surfaces, plus flight dynamics parameters used to run repeatable test flights. Aerofly RC also supports configuration management so a saved aircraft setup can be reused across sessions, with changes reflected in subsequent simulation runs.
- +Simulation uses saved aircraft setups for repeatable test runs
- +Model editor covers control surface layout needed for RC plane tuning
- +Workflow keeps visualization and flight-parameter iteration in one tool
- +Project files make it straightforward to share setups between users
- –Limited automation surface for batch testing across many aircraft variants
- –Setup iteration still depends on manual configuration steps
Best for: Fits when small RC teams need repeatable simulation testing without external toolchains.
EdgeTX
vertical specialistOpen-source RC radio transmitter firmware that replaced OpenTX as the community-driven standard for RC plane and multirotor radios.
On-transmitter Lua scripting for switch-driven arming, telemetry display logic, and conditional behavior per model.
EdgeTX is an open firmware for RC transmitters that focuses on repeatable, model-specific configuration. Mixer configuration, servo travel adjustment, and flight mode switch assignments let airframe differences live inside the transmitter.
Telemetry downlink integration supports on-screen link and sensor status so pilots can act before faults become flight-critical. Receiver channel mapping is maintained per model to keep PWM output mapping aligned with the flight controller’s expectations.
Automation is handled through transmitter-side scripting and hardware profiles that target common receiver families. This approach makes workflows portable across aircraft while keeping logic close to the control inputs.
- +Scripting lets model logic run on the transmitter for repeatable behavior
- +Mixer and V-tail mixer options support complex airframes without external edits
- +Telemetry downlink screens simplify link checks during flight
- +Hardware profile system keeps FrSky D-series and ELRS setups organized
- –Model configuration complexity increases setup time for new installs
- –Advanced flight mode switching and stick arming logic need careful verification
Best for: Fits when pilots want transmitter-side logic, telemetry validation, and repeatable model profiles across aircraft.
ArduPilot
enterpriseOpen-source autopilot software supporting fixed-wing RC planes, multirotors, rovers, and submarines with mission planning and autonomous flight.
Autopilot-native mission execution with parameterized control layers and MAVLink telemetry that works beyond a single ground station.
ArduPilot is a flight controller firmware used on RC aircraft that pairs onboard mission execution with MAVLink integration for telemetry and control.
RC plane setup relies on parameter configuration for things like mixer configuration, failsafe behavior, and control tuning instead of project-specific wizards.
Post-flight analysis is driven by onboard logging that supports tuning iteration based on recorded flight data.
- +MAVLink integration connects the autopilot to ground stations and custom tooling
- +Parameter-driven mixer and control behavior supports repeatable bench-to-aircraft setup
- +Mission planning and execution run onboard with consistent flight mode switching
- +Blackbox logging supports post-flight tuning and fault isolation workflows
- –Servo travel adjustment and channel mapping can require careful, aircraft-specific calibration
- –Failsafe behavior needs explicit RTL and action configuration before relying on it
Best for: Fits when teams need MAVLink-connected RC plane missions with repeatable parameterized tuning workflows.
eCalc
SMBWeb-based RC power system calculator that computes motor, propeller, battery, and ESC performance for RC planes and drones.
Power-system calculation sheets that keep motor, prop, and battery assumptions consistent across revisions.
eCalc is an RC plane software suite focused on sizing and validating electric power systems and flight setup inputs before builds. It provides calculators for battery, motor, propeller, and related performance assumptions, then converts those inputs into usable checklists for setup work. The workflow emphasizes repeatable configuration sheets that can be iterated as component choices change.
- +Component calculator inputs carry through into practical build checklists
- +Clear handling of prop, motor, and battery combination assumptions
- +Works well for comparing multiple component swaps quickly
- +Exports computed figures for sharing during build reviews
- –Limited coverage of flight-controller tuning and mixer logic workflows
- –Automation and API surface are not geared for CI-style validation
- –Telemetry downlink mapping and MAVLink workflows are outside scope
- –Best results require manual data entry from measured component specs
Best for: Fits when electric RC model builders need repeatable power-system sizing and setup sheets.
Profili 2
vertical specialistAirfoil design and wing template generation software for RC model aircraft.
Revision-focused aircraft configuration exports that keep actuator intent consistent across receiver channel mapping changes.
Profili 2 provides a flight-model design and control configuration workflow for RC planes, centered on servo and mixer setup validation before firmware deployment. The tool focuses on translating aircraft configuration intent into dependable receiver channel mapping and actuator behavior, then keeping changes structured across revisions.
It also supports automation-friendly export patterns that reduce manual rework when iterating on receiver channel mapping, servo reversing, and flight mode switch logic. For teams that operate multiple aircraft setups, Profili 2 fits best when configuration discipline matters more than ad hoc tweaking in the transmitter.
- +Structured mixer and actuator configuration with clear change tracking
- +Export workflow reduces manual errors during receiver channel mapping updates
- +Configuration checks help catch servo reversal and travel mismatches early
- +Revision-by-revision workflow supports multi-aircraft iterative setups
- –Limited direct support for flight-log workflows like blackbox tuning
- –Advanced firmware-specific options can require careful setup attention
Best for: Fits when model workshops need repeatable aircraft configuration exports across multiple airframes.
MotoCalc
vertical specialistElectric flight performance prediction software for RC airplanes, helicopters, and drones.
MotoCalc's model and propulsion calculation engine turns component selections into consistent, reusable setup numbers.
MotoCalc targets RC model builders who need a flight-ready configuration pipeline from airframe setup through control surface and power system calculations. It calculates model performance inputs and simulation-ready parameters, including prop and motor matching, aerodynamic expectations, and basic stability-check math.
The workflow is more calculation-centric than mission planning or controller flashing, so it fits radio and hardware planning before field tuning. It also supports exportable outputs that can be reused during iterative build reviews for repeatable setup changes.
- +Focused calculation workflow for motors, props, and performance planning
- +Reuses inputs to support iterative build revisions
- +Generates setup parameters that reduce spreadsheet duplication
- +Keeps model planning separated from controller firmware steps
- –Limited depth for telemetry downlink workflows and ground-station integration
- –Does not cover full radio firmware configuration flows like betaflight CLI scripting
- –Automation and API hooks for CI-style build validation are not a core strength
- –Failsafe behavior modeling and stick arming logic are not represented as primary outputs
Best for: Fits when RC teams need repeatable build math for motor, prop, and airframe setup before flight tuning.
Conclusion
After evaluating 10 video games and consoles, XFLR5 stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right rc plane software
RC plane software usually decides whether tuning and setup decisions stay consistent from design intent to transmitter programming and mission practice. This guide covers XFLR5 for airframe stability and trim analysis, Velocidrone for structured scenario practice, Liftoff for persistent model profile workflows, and the remaining tools focused on repeatable RC plane simulation, configuration exports, and mission execution.
The strongest differences show up in integration depth and automation reach. Some tools tie inputs to reusable model profiles and exports, while others emphasize autopilot-native MAVLink telemetry and parameterized mission workflows, as seen in ArduPilot and EdgeTX.
RC plane software for repeatable simulation, configuration export, and mission workflows
RC plane software is the set of tools used to translate airframe geometry and component assumptions into mixer behavior, transmitter setup logic, and repeatable practice or mission runs. Tools such as XFLR5 turn polar inputs into stability and trim analysis runs that stay consistent across design iterations, which helps guide RC control sizing decisions without rebuilding datasets each time.
For pilots who validate control technique before hardware tuning changes, Velocidrone organizes practice around scenario-driven training loops using repeatable aircraft behaviors. For operators who want parameterized mission execution connected to ground stations, ArduPilot provides autopilot-native mission workflows with MAVLink telemetry that can extend beyond a single simulator workflow.
Repeatability mechanics across simulation, tuning inputs, and model profiles
RC plane software only reduces setup drift when the same inputs feed multiple steps, from airframe prediction to repeated practice flights. Tools that reuse geometry inputs or persist model profiles keep control behavior consistent when mixer and control mappings change.
Geometry-to-stability reuse across airframe iterations
XFLR5 reuses airfoil polars across wing, tail, and stability computations without rebuilding datasets, which keeps stability and trim analysis consistent during design changes. This repeatability is missing in tools that focus only on mission practice rather than airframe geometry prediction.
Persistent model profile workflows for repeated practice
Liftoff keeps flight practice workflows built around persistent aircraft model profiles so tuning changes carry across repeated missions. It complements scenario practice in Velocidrone, where training loops focus on aircraft behavior consistency rather than enduring setup state.
Scenario-driven practice loops tied to aircraft behavior
Velocidrone runs scenario-driven training missions that keep practice structured across different aircraft behaviors, which supports control technique validation before real hardware tuning. This is weaker in pure configuration and export tools like RC Desk Pilot because it concentrates on preflight checklists rather than simulation scenarios.
Airframe-scoped preflight automation linked to channel mapping documentation sets
RC Desk Pilot uses airframe-first organization that ties channel and wiring details to one project and connects checklists to specific channel mapping and mixer documentation sets. Aerofly RC provides a model editor for control surface layout, but it emphasizes simulation testing rather than record-carrying preflight automation.
Autopilot-native mission execution and MAVLink telemetry connectivity
ArduPilot supports parameterized control layers and MAVLink telemetry that works beyond a single ground station. This matters for teams that want mission workflows connected to custom tooling, while EdgeTX focuses on transmitter-side Lua logic for model behavior and telemetry display.
Repeatable build math for motor, prop, and battery assumptions
MotoCalc and eCalc keep motor, prop, and battery assumptions consistent across revisions, which helps avoid mismatched build inputs before flight tuning. XFLR5 addresses airframe stability and trim analysis, while MotoCalc and eCalc focus on propulsion calculations rather than RC transmitter programming.
Choose by workflow boundary: airframe prediction, practice persistence, configuration records, or mission execution
The right rc plane software depends on where the workflow boundary sits for repeatability. Some tools keep repeatable geometry-driven inputs, others store persistent aircraft model profiles for repeated missions, and some keep autopilot parameter and telemetry loops for real mission workflows.
Start with airframe intent: if geometry prediction drives downstream tuning, pick XFLR5
Choose XFLR5 when stability and trim analysis must stay tied to the same airframe geometry inputs across wing, tail, and stability computations. This path is designed for designers who need polar-driven predictions that guide RC control sizing without rebuilding datasets each time.
Start with practice persistence: if repeated feel testing matters, pick Liftoff
Choose Liftoff when the workflow must persist aircraft model profiles so mixer and control behavior stays consistent across repeated missions. This approach differs from scenario-only training in Velocidrone, because Liftoff keeps practice state tied to saved setups.
Start with structured training: if control technique validation needs scenario loops, pick Velocidrone
Choose Velocidrone when structured scenario-driven training loops must produce repeatable aircraft behavior practice across different aircraft profiles. Avoid using it as a certification tool for real failsafe trigger outcomes because simulator setup does not certify hardware failsafe trigger behavior.
Start with preflight record custody: if checklists must bind to channel mapping and mixer docs, pick RC Desk Pilot
Choose RC Desk Pilot when airframe-scoped automation must link checklists to specific channel mapping and mixer documentation sets. This is the better fit than Aerofly RC when records must travel between airframes and reduce missed steps during frequent test sessions.
Start with mission connectivity: if MAVLink mission workflows matter, pick ArduPilot
Choose ArduPilot when mission execution needs parameterized control layers plus MAVLink telemetry connectivity beyond a single ground station. This selection differs from EdgeTX because EdgeTX scripting runs on the transmitter and focuses on switch-driven arming logic and telemetry display behavior.
Start with propulsion sizing inputs: if motor, prop, and battery assumptions must stay consistent, pick MotoCalc or eCalc
Choose MotoCalc or eCalc when motor, prop, and battery assumptions must carry through practical build checklists and iterative revisions. MotoCalc concentrates on propulsion planning depth, while eCalc keeps power-system calculation sheets consistent across revisions but does not cover flight-controller tuning and mixer logic workflows.
RC plane workflows that fit specific tool strengths
Different rc plane software tools store and reuse different state, so the best fit depends on what must remain consistent. The segments below map workflow intent to the specific capabilities each tool carries.
Airframe designers who iterate quickly on planform and control surface layouts
XFLR5 fits because it reuses airfoil polars across wing, tail, and stability computations using the same airframe geometry inputs during design iterations.
Pilots who want repeatable feel testing across repeated simulated missions
Liftoff fits because persistent aircraft model profiles carry mixer and control behavior across repeated missions, which reduces the need for ad hoc remapping.
Training-focused pilots who practice specific aircraft behaviors in structured sessions
Velocidrone fits because scenario-based learning loops practice control technique against repeatable aircraft behavior patterns across different profiles.
RC builders who run frequent bench sessions and need preflight records tied to wiring and channel mapping
RC Desk Pilot fits because airframe-first organization keeps channel and wiring details tied to one project and links checklists to specific channel mapping and mixer documentation sets.
Autopilot operators running RC plane missions with ground-station connectivity
ArduPilot fits because it supports autopilot-native mission execution with MAVLink telemetry and parameterized control layers for repeatable workflows.
Common failure points when selecting rc plane software for repeatable workflows
Most workflow failures come from selecting a tool that preserves the wrong kind of state. If the stored state does not map to how the aircraft setup changes, practice will diverge from hardware and tuning work will not carry across iterations.
Using a simulator-focused workflow as a substitute for failsafe verification
Velocidrone provides scenario-driven training missions, but simulator setup does not certify real failsafe trigger outcomes. Hardware-specific receiver and transmitter quirks still need separate verification before relying on RTL failsafe behavior.
Buying geometry prediction tools but expecting transmitter programming outputs
XFLR5 supports polar-driven stability and trim analysis from airfoil polars and geometry, but it provides no built-in mixer or servo travel editor for RC transmitter programming. Servo travel adjustment and receiver channel mapping still require dedicated transmitter and flight-controller steps.
Assuming persistent practice profiles eliminate the need for accurate starting model inputs
Liftoff keeps persistent aircraft model profiles, but high-fidelity tuning still depends on accurate starting model settings. Inaccurate initial mixer and control behavior will carry through repeated missions regardless of profile persistence.
Treating preflight checklist tools as telemetry integration platforms
RC Desk Pilot does not include direct MAVLink integration, so it cannot pull telemetry into the workflow. ArduPilot covers MAVLink telemetry connectivity, so a separate integration approach is required for telemetry-driven preflight automation.
Over-indexing on transmitter scripting and skipping aircraft-specific calibration checks
EdgeTX scripting supports switch-driven arming logic and telemetry display behavior, but advanced flight mode switching and stick arming logic still require careful verification. Servo reversing and channel mapping calibration must match the aircraft wiring and receiver channel mapping outcomes.
How We Selected and Ranked These Tools
We evaluated XFLR5, Velocidrone, Liftoff, RC Desk Pilot, Aerofly RC, EdgeTX, ArduPilot, eCalc, Profili 2, and MotoCalc by weighting features at 40% and then applying ease and value at 30% each. XFLR5 earned the top position because it reuses airfoil polars across wing, tail, and stability computations and runs polar-driven stability and trim analysis on the same airframe geometry inputs across design iterations. The remaining tools were ranked by how directly their stored workflows support repeatable rc plane practice and configuration outcomes, including Liftoff’s persistent model profiles and ArduPilot’s MAVLink telemetry plus parameterized mission execution.
Frequently Asked Questions About rc plane software
How do XFLR5 and eCalc differ in the inputs they require for RC plane setup work?
Which tool is better for validating switch-driven arming and flight-mode behavior on the transmitter?
When should RC Desk Pilot be used instead of Liftoff for repeated RC model workflows?
What breaks if actuator intent is handled in a notes tool instead of Profili 2 export patterns?
How do Aerofly RC and Velocidrone support repeatable test sessions for RC pilots?
Which workflow is most direct for MAVLink-connected RC plane missions and telemetry downlink?
How do MotoCalc and XFLR5 coordinate if a project needs both power-system sizing and airframe performance predictions?
What security and admin controls exist if multiple pilots share an EdgeTX configuration setup?
When migrating an existing channel mapping and mixer configuration to a structured workflow, which tool best preserves revision consistency?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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