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• Consent management platforms : Keys to compliance and user trust

  14 juin, par Joe

  Today’s marketing managers and data analysts face a tricky balancing act : gaining meaningful customer insights while respecting user privacy. Finding ways to navigate the maze of complex privacy regulations while managing consent at scale can be daunting. 

  Consent management platforms (CMPs) offer a solution. They allow companies to collect data ethically, manage user consent efficiently, and comply with privacy regulations like Europe’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).

  This guide explains everything you need to know about CMPs : how they function, why they’re essential for data governance, and how they work hand-in-hand with analytics platforms to promote transparency and build trust with users.

  What is a consent management platform (CMP) and what is it for ?

  A consent management platform (CMP) helps organisations collect, organise, and store user consent for personal data processing purposes. In short, it’s a tool that ensures data collection respects user privacy and complies with regulations like the GDPR and CCPA.

  Without a CMP, businesses could face hefty fines and penalties for violating data privacy laws in different parts of the world. This shows how vital these tools are to all modern businesses.

  How do consent management platforms work ?

  CMPs give users a clear and straightforward way to provide explicit consent for data collection. These platforms manage both the technical aspects of consent storage and the user experience on your site or app.

  Here’s a simplified breakdown :

  • Cookie consent banners : The CMP displays a banner whenever a user visits your website. This banner explains the types of personal information collected and for what purpose.
  • User choice : The user can accept or reject cookies and trackers. They can often customise their preferences to choose which specific data types they’re willing to share.
  • Preference storage : The CMP stores the user’s choices. This information helps ensure that you only collect and process the permitted data.
  • Integration with other systems : CMPs integrate with other systems, such as analytics platforms and advertising networks, to ensure that data collection and processing comply with the user’s choices throughout the customer experience.

  

  A key feature of CMPs is their role in shaping privacy policy design. This design encompasses the layout, visual elements, and cues employed to seek user consent.

  A recent study by Karlstad University in Sweden showed that privacy policy design significantly influences user comprehension and willingness to disclose information. In other words, it affects consent rates considerably and is key to enhancing data collection.

  Importance of consent management for compliance

  As the world becomes increasingly interconnected, consent management is taking centre stage. Although it applies to all technologies and systems that gather or handle personal data, few instances are as relevant as smart homes.

  Smart home devices have unique access to our personal spaces and private lives. They represent a unique challenge to consent management since one person is potentially granting access to personal data from themselves and other people who may be inside or around the house.

  A 2023 study by the University College London and the University of Oxford pointed out that clear design principles and granular, contextual permission structures are essential in these situations.

  However, consent management isn’t just best practice. It’s a widespread legal requirement. Not meeting these requirements can result in hefty penalties and reputational damage to your organisation.

  Consent management under GDPR

  The European Union’s GDPR is a data protection law applicable to organisations that process the personal data of individuals residing in the European Economic Area (EEA). It’s based on the principle of opting in.

  The GDPR is one of the strongest data privacy laws globally. For non-compliance, fines can be up to €20 million or 4% of the company’s total global turnover (whichever is higher).

  It’s also one of the most heavily enforced privacy laws. According to enforcementtracker.com, Meta was fined €1.2 billion in 2023, with GDPR fines reaching over €2 billion that year alone. In the UK, the largest GDPR fine is €22.05 million, according to Statista. It pays to comply.

  The GDPR has specific rules around consent, including that it must be :

  • Freely given : Users must not be pressured or coerced.
  • Specific : Must be given for specific data processing purposes.
  • Informed : Users must be provided with clear and concise information.
  • Unambiguous : Permission must be granted through clear and affirmative action, such as checking a box or tapping a button.

  CMPs help you meet these requirements by providing a transparent and user-friendly way to obtain and manage consent.

  Consent management under CCPA

  The CCPA is another privacy protection law for businesses collecting personal information from California residents. It grants Californians the right to know what data is being collected about them, to prevent it from being sold, and to request its deletion.

  CMPs support CCPA compliance by enabling users to exercise their rights and ensuring transparent data collection practices.

  Managing consent under other regulatory frameworks

  In addition to the GDPR and CCPA, numerous other privacy regulations can impact your organisation. These regulations include :

  • The COPPA in the US
  • Brazil’s LGPD
  • Japan’s APPI
  • Canada’s PIPEDA.
  • Australia’s Privacy Act 1988 

  A CMP will help streamline the process by providing a clear, practical framework to ensure you meet all applicable requirements.

  Key features to look for in a CMP

  Choosing the right CMP is crucial for global business.

  Here are some key features to consider :

  Custom banners

  Consent banners are often among users’ first digital interactions with your brand. It should be clear, concise and visually appealing. Look for a CMP that allows you to :

  • Customise the banner’s design to match your website’s branding and aesthetics.
  • Control the banner’s positioning for optimal visibility.

  End-user management tools

  The CMP should also offer a user-friendly interface allowing visitors to grant, manage and withdraw consent.

  This includes customisable banners, granular permissions, and a preference centre. The latter is a dedicated space where users can manage their preferences anytime.

  Integration capabilities with existing systems

  The CMP should integrate with your existing technology stack, including your analytics platform, marketing automation tools and CRM. This integration ensures a smooth workflow and prevents data silos.

  How to select the right CMP for your organisation

  To find the perfect CMP, focus on your specific needs and priorities. Here’s a step-by-step guide to help you make an informed decision :

  Assessing organisational needs and goals

  Start by clearly defining your organisation’s requirements. Consider the following :

  • Types of data collected : What personal data do you collect (for example, cookies, IP addresses, location data) ?
  • Compliance requirements : Which privacy regulations must you comply with (GDPR, CCPA, COPPA) ?
  • Website or app complexity : How complex is your website or app in terms of user interactions and data collection points ?
  • Budget : How much are you willing to invest in a CMP ?

  Comparing features and pricing

  Once you thoroughly understand your needs, you can compare the features and pricing of various CMPs. Look for key features like :

  • Customisable banners
  • Granular options
  • Preference centre
  • Integration with existing systems
  • Analytics and reporting

  Once you’ve shortlisted a few options, compare the pricing and choose the best value for your budget. Take advantage of free trials before committing to a paid plan.

  Checking verified user reviews

  Read user reviews on platforms like G2 or Trustpilot to get an idea of the strengths and weaknesses of different CMPs. Look for reviews from similar organisations regarding size, industry and compliance requirements.

  Integration with a privacy-focused analytics platform

  A consent management platform acts as the bridge between your users and your analytics and marketing teams. It ensures user preferences are communicated to your analytics setup, so data collection and analysis align with their choices and comply with privacy regulations. 

  Finding a consent manager integration that works with your analytics setup is essential for businesses.

  Top five consent management platforms

  The CMP market is pretty competitive, with many players providing excellent solutions. According to Emergen Research, it was valued at $320.9 million in 2021 and is growing at 21.2%.

  Here are five of our top choices 

  1. usercentrics

  usercentrics is a comprehensive CMP with customisable banners, granular consent options and a preference centre.

  

  usercentrics geolocation rulesets page (Source : Usercentrics)

  This Google-certified CMP allows you to create global and regional consent rules to ensure compliance with local regulations like GDPR, CCPA and LGPD. For a smooth implementation, usercentrics provides access to a knowledgeable support team and a dedicated customer success executive.

  It’s worth noting that Usercentrics is the CMP we use here at Matomo. It helps us in our mission to collect and analyse data ethically and with a privacy-first mindset.

  • Key features : Customisable banners, granular permissions, cross-domain and cross-device capabilities, automatic website scans, reporting and analytics.
  • Pricing : Usercentrics offers a free plan and four paid subscription plans from €7 to €50 per month.

  2. Osano

  Osano is a user-friendly CMP focusing on transparency and ease of use.

  

  Osano’s main dashboard (Source : Osano)

  Osano can scan websites for tracking technologies without impacting the user experience.

  • Key features : Customisable banners, multi-language support, granular consent options, a preference centre and access to a knowledgeable team of compliance specialists.
  • Pricing : Osano offers a self-service free plan and a paid plan at $199 per month.

  3. Cookiebot

  Cookiebot is another popular CMP with numerous integration options, including Matomo and other analytics tools. 

  

  Cookiebot consent banner options (Source : Cookiebot)

  • Key features : A cookie scanner, a privacy trigger or button allowing users to change their consent settings, a consent management API and advanced analytics.
  • Pricing : Cookiebot offers a free plan and paid plans ranging from €7 to €50 per month.

  4. CookieYes

  CookieYes is well-suited for small businesses and websites with basic privacy needs. 

  

  CookieYes cookie banner options (Source : CookieYes)

  It offers various features, including multilingual support, geo-targeting, privacy policy generation, and a preference centre. CookieYes also integrates with analytics and CMS tools, making it easy to implement as part of your stack.

  • Key features : Customisable consent banners, granular consent options, preference centre, integration with Matomo, reporting and analytics.
  • Pricing : You can use CookieYes for free or subscribe to one of their three paid plans, which range from $10 to $55 per month.

  5. Tarte au Citron

  Tarte au Citron is an open-source, lightweight, and customisable CMP developed in France.

  

  (Source : Tarte au Citron)

  Its focus is on transparency and user experience. It provides many features free of charge, but many do require some technical knowledge to deploy. There’s also a paid subscription with ongoing support and faster implementation.

  Tarte au Citron integrates with Matomo, which is also open-source. If you’re building an open-source stack for your analytics, Matomo and Tarte au Citron make an excellent pair.

  • Key features : Open-source, customisable consent banners, integration with Matomo, works with over 220 services.
  • Pricing : You can deploy the open-source core for free, but Tarte au Citron offers three paid licenses starting at €190 for one year and reaching €690 for a lifetime license.

  How to implement cookie consent the right way

  Implementing cookie consent requires precision, time and effort. But doing it wrong can result in significant legal penalties and severe reputational damage, eroding user trust and impacting your brand’s standing. Here are the key dos and don’ts of consent :

  

  Provide clear and concise information

  Use plain language that is easy for anyone to understand. Avoid using technical terms or legal jargon that may confuse users.

  Prioritise transparency

  Be upfront about your data collection practices. Clearly state what data you collect, how you use it and who you share it with. Provide links to your privacy and cookie policies for users who want to learn more.

  Offer granular control

  Give users detailed control over as many of their cookie preferences as possible. Allow them to choose which categories of tracking cookies they consent to, such as strictly necessary, performance and marketing cookies.

  Implement user-friendly banners

  Ensure banners are prominently displayed, easy to understand, and use clear and concise language. Also, make sure they’re accessible to all users, including those with disabilities.

  Respect “do not track” settings

  It’s essential to honour users’ choices when they enable their “do not track” browser setting.

  Document consent

  Maintain a record of user consent. This will help you demonstrate compliance with data privacy regulations and provide evidence of user consent in case of an audit or investigation.

  Regularly review and update consent policies

  Review and update your customer consent policies regularly to ensure they comply with evolving data privacy regulations and reflect your current data collection practices.

  Cookie consent pitfalls to avoid

  Here are some common pitfalls to avoid that may lead to legal penalties, loss of user trust or inaccurate analytics :

  • Avoid lengthy and complicated explanations. Overwhelming users with dense legal jargon or overly technical details can lead to consent fatigue and reduce the likelihood of informed consent.
  • Don’t force users to accept all cookies or none. Blanket consent options violate user autonomy and fail to comply with regulations like the GDPR.
  • Don’t make information about your data collection practices hard to find. Hidden or buried privacy policies breed suspicion and erode trust.
  • Avoid pre-checking all cookie consents. Pre-checked boxes imply consent without explicit user action, which is not compliant with GDPR and similar regulations. Users must actively opt in, not out.

  Emerging consent management trends 

  Consent management is constantly evolving and driven by new technologies, regulations, and user expectations. Here are some emerging trends to watch out for in the short term :

  • Increased automation : AI and machine learning are helping automate consent management processes, making them more efficient and effective.
  • Enhanced user experience : CMPs are becoming more user-friendly, focusing on providing an intuitive experience.
  • Privacy-preserving analytics : CMPs are being integrated with privacy-preserving analytics platforms, such as Matomo, to enable organisations to gain insights into user behaviour without compromising privacy.
  • Google Consent Mode : In 2024, Google rolled out Consent Mode v2 to align with the Digital Markets Act. Due to upcoming privacy regulations, more versions may be coming soon.

  The Privacy Governance Report 2024 also highlights the increasing complexity of managing data privacy, with more than four in five privacy professionals taking on additional responsibilities in their existing roles. This trend will likely continue in the coming years as more privacy laws are enacted.

  Addressing upcoming privacy regulations

  Data privacy and user consent requirements continue to emerge and evolve. Businesses must stay informed and adapt their practices accordingly.

  

  In 2025, several new privacy regulations are going into effect, including :

  • New state-level privacy laws in eight US states :
    • Delaware (1 January 2025)
    • Iowa (1 January 2025)
    • Nebraska (1 January 2025)
    • New Hampshire (1 January 2025)
    • New Jersey (15 January 2025)
    • Tennessee (1 July 2025)
    • Minnesota (31 July 2025)
    • Maryland (1 October 2025)
  • The EU’s Artificial Intelligence Act (which will be implemented from 1 August 2024 through 2 August 2026) and other AI-focused regulations.
  • The UK Adequacy Decision Review has a deadline of 27 December 2025.

  Organisations that collect, process or otherwise handle data from Europe and the above-named US states should proactively prepare for these changes by :

  • Conducting regular privacy impact assessments
  • Reviewing consent mechanisms regularly
  • Implementing data minimisation strategies
  • Providing user-friendly privacy controls

  Future-proofing your consent management strategy

  CMPs are essential for managing consent preferences, protecting user privacy, and earning customers’ trust through transparency and ethical data practices.

  When choosing a CMP, you should consider key features such as integration capabilities, customisation options and user-friendly interfaces.

  Integrating a CMP with a privacy-first analytics solution like Matomo allows you to collect and analyse data in a way that’s compliant and respectful of user preferences. This combination helps maintain data integrity while demonstrating a strong commitment to privacy. 

  Start your 21-day free trial today.

• FFmpeg get frame rate

  22 septembre 2021, par zhin dins

  I have several images and I am reproducing them in 78.7ms, I am creating like the 80s video effect. But, I am unable to find the correct ms, and this images with the original videos are unsync.

  


  I dumped the video to images using this command => ffmpeg -i *.mp4 the80effect/img-%d.jpg And now, I have 48622 frames. The video FPS is 24

  


  So, 48622/24 = 2025 +- I cannot use 2025ms since those images will load very slow. And the and the approximate value is 78.7ms per frame/image

  


  How can I find the correct value ? The video duration in seconds is 2026. I have tried all math to find this but I'm failing. How many images (one frame) per msCould you help me ? Thank you.

  


• ffmpeg concatenation after using drawtext filter

  12 août 2016, par Sven Hoskens

  I’m fairly new to ffmpeg, but after a few days of searching on this issue, I’ve completely hit a brick wall. Any help would be appreciated.

  My use case : Our client wants to upload videos for multiple regions. Each video will be the same format, 1920x1080, mp4. For each region, they want to add a different image at the end of the video, for a few seconds. This image contains their logo, some additional info, and a variable code. They will enter this code alongside the uploaded video. The image stays the same, so is already present on the server.
  So basically, I have an input video, a video of an image, and a small code. I need to add this code to the video of the image (in a predefined position), and then I need to add the resulting video to the end of the input video. Once that is complete, I just need to output the video in 1920x1080 and in 1024x576.

  I have tried several things, but the concatenation step always fails with the manipulated video’s.

  Attempt 1

  In my first attempt, I used ffmpeg to create a video from an image, and add the text in the designated area.

  ffmpeg -y -f lavfi -i image.png -r 30 -t 10 -pix_fmt yuv420p -map 0:v -vf drawtext="fontfile=HelveticaNeue.dfont: text='GLNS/TEST/1234b': fontcolor=black: fontsize=20: box=1: boxcolor=white: boxborderw=7: x=179: y=805" imageVideo.mp4

  This command creates a .mp4 video of the correct size, with a duration of 10 seconds, and adds the text ’GLNS/TEST/1234b’ in the correct location.

  Next, I use the following command to concatenate the two videos. Both have the same resolution and codec.

  ffmpeg -f concat -safe 0 -i config.txt -vf scale=1920:1080 outputHD.mp4 -vf scale=1024:576 outputSD.mp4

  config.txt contains following :

  file my_input_file.mp4
  
  file ImageVideo.mp4

  This concatenation works with regular videos. However, when I use it with ImageVideo.mp4 (the one created by the first command) I get this error log :

  [mov,mp4,m4a,3gp,3g2,mj2 @ 0x7f86dc924600] Auto-inserting h264_mp4toannexb bitstream filtereed=0.509x    
  
  [aac @ 0x7f86dc019e00] Number of bands (31) exceeds limit (5).
  
  Error while decoding stream #0:1: Invalid data found when processing input
  
  [aac @ 0x7f86dc019e00] Number of bands (27) exceeds limit (8).
  
  Error while decoding stream #0:1: Invalid data found when processing input
  
  [h264 @ 0x7f86dd857200] Error splitting the input into NAL units.
  
  [h264 @ 0x7f86dd829400] Invalid NAL unit size.
  
  [h264 @ 0x7f86dd829400] Error splitting the input into NAL units.
  
  [aac @ 0x7f86dc019e00] Number of bands (10) exceeds limit (1).
  
  Error while decoding stream #0:1: Invalid data found when processing input
  
  [h264 @ 0x7f86dd816800] Invalid NAL unit size.
  
  [h264 @ 0x7f86dd816800] Error splitting the input into NAL units.
  
  [aac @ 0x7f86dc019e00] Number of bands (24) exceeds limit (1).
  
  Error while decoding stream #0:1: Invalid data found when processing input
  
  
  
  #this goes on for a few hundred lines

  The resulting output is identical to the input video, but does not contain the desired image video at the end.

  Attempt 2

  Since the above attempt didn’t work, I tried concatenating a video I let our designer make of the image with Adobe After Effects. This video was also saved as a .mp4 with the H264 codec. If I concatenate the input video and this one, I get a correct result. However, as soon as I add the code in the designated area with this command :

  ffmpeg -i new_image_video.mp4 -vf drawtext="fontfile=HelveticaNeue.dfont: text='GLNS/TEST/1234b': fontcolor=black: fontsize=20: box=1: boxcolor=white: boxborderw=7: x=179: y=805" -c:v libx264 imageVideo.mp4

  I get this error :

  [mov,mp4,m4a,3gp,3g2,mj2 @ 0x7ff94c800000] Auto-inserting h264_mp4toannexb bitstream filter97x    
  
  [h264 @ 0x7ff94b053800] top block unavailable for requested intra mode -1
  
  [h264 @ 0x7ff94b053800] error while decoding MB 0 0, bytestream 49526
  
  [h264 @ 0x7ff94b053e00] number of reference frames (1+3) exceeds max (3; probably corrupt input), discarding one
  
  [h264 @ 0x7ff94b053e00] chroma_log2_weight_denom 28 is out of range
  
  [h264 @ 0x7ff94b053e00] illegal long ref in memory management control operation 2
  
  [h264 @ 0x7ff94b053e00] cabac_init_idc 32 overflow
  
  [h264 @ 0x7ff94b053e00] decode_slice_header error
  
  [h264 @ 0x7ff94b053e00] no frame!
  
  [h264 @ 0x7ff94b053800] concealing 8160 DC, 8160 AC, 8160 MV errors in I frame
  
  [h264 @ 0x7ff94b072a00] reference overflow 22 > 15 or 0 > 15
  
  [h264 @ 0x7ff94b072a00] decode_slice_header error
  
  [h264 @ 0x7ff94b072a00] no frame!
  
  [h264 @ 0x7ff94b01a400] illegal modification_of_pic_nums_idc 20
  
  [h264 @ 0x7ff94b01a400] decode_slice_header error
  
  [h264 @ 0x7ff94b01a400] no frame!
  
  [h264 @ 0x7ff94b01aa00] illegal modification_of_pic_nums_idc 20
  
  [h264 @ 0x7ff94b01aa00] decode_slice_header error
  
  [h264 @ 0x7ff94b01aa00] no frame!
  
  Error while decoding stream #0:0: Invalid data found when processing input
  
  [h264 @ 0x7ff94b053800] deblocking_filter_idc 8 out of range
  
  [h264 @ 0x7ff94b053800] decode_slice_header error
  
  [h264 @ 0x7ff94b053800] no frame!
  
  Error while decoding stream #0:0: Invalid data found when processing input
  
  [h264 @ 0x7ff94b053e00] illegal memory management control operation 8
  
  [h264 @ 0x7ff94b053e00] co located POCs unavailable
  
  [h264 @ 0x7ff94b053e00] error while decoding MB 2 0, bytestream -35
  
  [h264 @ 0x7ff94b053e00] concealing 8160 DC, 8160 AC, 8160 MV errors in B frame
  
  [h264 @ 0x7ff94b072a00] number of reference frames (1+3) exceeds max (3; probably corrupt input), discarding one
  
  
  
  # this goes on for a while...
  
  
  
  [h264 @ 0x7ff94b01a400] concealing 4962 DC, 4962 AC, 4962 MV errors in B frame
  
  Error while decoding stream #0:0: Invalid data found when processing input
  
  frame= 2553 fps= 17 q=-1.0 Lsize=   26995kB time=00:01:42.16 bitrate=2164.6kbits/s dup=0 drop=60 speed=0.697x    
  
  video:25258kB audio:1661kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.285236%
  
  [libx264 @ 0x7ff94b810400] frame I:35    Avg QP:17.45  size: 55070
  
  [libx264 @ 0x7ff94b810400] frame P:711   Avg QP:19.73  size: 18712
  
  [libx264 @ 0x7ff94b810400] frame B:1807  Avg QP:21.53  size:  5884
  
  [libx264 @ 0x7ff94b810400] consecutive B-frames:  3.4%  5.0%  4.9% 86.6%
  
  [libx264 @ 0x7ff94b810400] mb I  I16..4: 38.2% 49.3% 12.5%
  
  [libx264 @ 0x7ff94b810400] mb P  I16..4: 12.4% 14.0%  1.0%  P16..4: 29.6%  4.8%  1.9%  0.0%  0.0%    skip:36.2%
  
  [libx264 @ 0x7ff94b810400] mb B  I16..4:  1.5%  1.2%  0.1%  B16..8: 27.3%  1.6%  0.1%  direct: 1.8%  skip:66.4%  L0:45.8% L1:51.4% BI: 2.8%
  
  [libx264 @ 0x7ff94b810400] 8x8 transform intra:49.5% inter:85.4%
  
  [libx264 @ 0x7ff94b810400] coded y,uvDC,uvAC intra: 21.2% 22.3% 2.5% inter: 4.6% 7.0% 0.0%
  
  [libx264 @ 0x7ff94b810400] i16 v,h,dc,p: 23% 26% 10% 41%
  
  [libx264 @ 0x7ff94b810400] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 31% 19% 35%  3%  3%  3%  3%  3%  2%
  
  [libx264 @ 0x7ff94b810400] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 31% 20% 16%  5%  7%  6%  5%  5%  4%
  
  [libx264 @ 0x7ff94b810400] i8c dc,h,v,p: 67% 16% 15%  2%
  
  [libx264 @ 0x7ff94b810400] Weighted P-Frames: Y:7.3% UV:4.2%
  
  [libx264 @ 0x7ff94b810400] ref P L0: 66.3%  8.7% 17.9%  7.0%  0.1%
  
  [libx264 @ 0x7ff94b810400] ref B L0: 88.2% 10.1%  1.7%
  
  [libx264 @ 0x7ff94b810400] ref B L1: 94.9%  5.1%
  
  [libx264 @ 0x7ff94b810400] kb/s:2026.12
  
  [aac @ 0x7ff94b072400] Qavg: 635.626

  The resulting output is identical to the input video, but does not contain the desired image video at the end.

  One thing I have noticed : When I inspect the video files on mac (Get info) they always contain these lines at ’More info’ :

  Dimensions: 1920 x 1080
  
  Codecs: H.264, AAC
  
  Color profile: HD(1-1-1)
  
  Duration: 01:42
  
  Audio channels: 2
  
  Last opened: Today 11:02

  However, the video’s which pass through the drawtext filter have this :

  Dimensions: 1920 x 1080
  
  Codecs: AAC, H.264
  
  Duration: 00:10
  
  Audio channels: 2
  
  Last opened: Today 11:07

  As you can see, there is no color profile entry, and the codecs have switched places. I assume this is related to my issue, but I can’t seem to find a fix for it.

  PS : The application will run in a php environment (Symfony). I noticed the concat command wasn’t available in the Symfony bundle for ffmpeg, so I’m using the regular terminal commands. I’ll execute these using php.

  EDIT
  Attempt 3

  On advise of a coworker, I tried converting the video to .avi and reconverting to .mp4, in the hopes this would lose any corrupted or extra info included by the drawtext filter. This spits out a completely different error.

  [mov,mp4,m4a,3gp,3g2,mj2 @ 0x7f812413da00] Auto-inserting h264_mp4toannexb bitstream filtereed=0.516x    
  
  [concat @ 0x7f8124009a00] DTS 1569260 < 2551000 out of order
  
  [h264 @ 0x7f8124846800] left block unavailable for requested intra4x4 mode -1
  
  [h264 @ 0x7f8124846800] error while decoding MB 0 0, bytestream 47919
  
  [h264 @ 0x7f8124846800] concealing 8160 DC, 8160 AC, 8160 MV errors in I frame
  
  [aac @ 0x7f8125809a00] Queue input is backward in time
  
  [aac @ 0x7f8125815a00] Queue input is backward in time
  
  [h264 @ 0x7f8124846e00] number of reference frames (1+3) exceeds max (3; probably corrupt input), discarding one
  
  [h264 @ 0x7f8124846e00] chroma_log2_weight_denom 26 is out of range
  
  [h264 @ 0x7f8124846e00] deblocking_filter_idc 32 out of range
  
  [h264 @ 0x7f8124846e00] decode_slice_header error
  
  [h264 @ 0x7f8124846e00] no frame!
  
  [mp4 @ 0x7f8124802200] Non-monotonous DTS in output stream 0:1; previous: 4902912, current: 4505491; changing to 4902913. This may result in incorrect timestamps in the output file.
  
  [mp4 @ 0x7f8125813000] Non-monotonous DTS in output stream 1:1; previous: 4902912, current: 4505491; changing to 4902913. This may result in incorrect timestamps in the output file.
  
  [h264 @ 0x7f8124803400] reference overflow 20 > 15 or 0 > 15
  
  [h264 @ 0x7f8124803400] decode_slice_header error
  
  [h264 @ 0x7f8124803400] no frame!
  
  [mp4 @ 0x7f8124802200] Non-monotonous DTS in output stream 0:1; previous: 4902913, current: 4506515; changing to 4902914. This may result in incorrect timestamps in the output file.
  
  [mp4 @ 0x7f8125813000] Non-monotonous DTS in output stream 1:1; previous: 4902913, current: 4506515; changing to 4902914. This may result in incorrect timestamps in the output file.
  
  [mp4 @ 0x7f8124802200] Non-monotonous DTS in output stream 0:1; previous: 4902914, current: 4507539; changing to 4902915. This may result in incorrect timestamps in the output file.
  
  [mp4 @ 0x7f8125813000] Non-monotonous DTS in output stream 1:1; previous: 4902914, current: 4507539; changing to 4902915. This may result in incorrect timestamps in the output file.
  
  
  
  # Again, this continues for quite a while.